├── output
    └── .gitignore
├── README.md
├── utils.py
├── model.py
├── .gitignore
├── attack_method.py
├── main.py
└── images
    ├── categories.csv
    └── images_all.csv


/output/.gitignore:
--------------------------------------------------------------------------------
1 | *
2 | !.gitignore
3 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Simple adversarial attack on InceptionV3
 2 | 
 3 | Attack InceptionV3 net using FGM( fast gradient method)  and show saliency maps.
 4 | 
 5 | ## Prerequisites
 6 | 
 7 | - Python 3.5+
 8 | - tensorflow 1.2+
 9 | - sklearn, numpy, pandas, skimage
10 | 
11 | ## Dataset and model
12 | 
13 | Download the dataset and model file from Kaggle: https://www.kaggle.com/c/nips-2017-non-targeted-adversarial-attack/data
14 | 
15 | + Download Inception-v3 model ckpt file  and put it in ./ .
16 | 
17 | + Download the 1000-images development-set zip file and unzip the *images* directory to ./images, such that the image files are located in ./images/images/.
18 | 
19 | + Finally, If you would like to generate and save the saliency maps, uncomment the lines following 
20 | 
21 |   ```python
22 |   # generate saliency maps
23 |   ```
24 | 
25 |   in main.py.
26 | 
27 |   ​
28 | 
29 | ## Acknowledgements
30 | 
31 | Inspired by Kaggle competitions on adversarial attacks and tensorflow/cleverhans.
32 | 


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/utils.py:
--------------------------------------------------------------------------------
 1 | import numpy as np
 2 | from skimage.io import imread, imshow, imsave
 3 | import tensorflow as tf
 4 | import os
 5 | 
 6 | def load_images(input_dir, batch_shape,num=None):
 7 |     images = np.zeros(batch_shape)
 8 |     idx = 0
 9 |     batch_size = batch_shape[0]
10 |     filenames = []
11 |     filepaths = tf.gfile.Glob(os.path.join(input_dir,"*.png"))
12 |     if num is None:
13 |         num = len(filepaths)
14 |     for filepath in filepaths:  #和python 自带的glob功能一样
15 |         image = imread(filepath).astype(np.float)/255.0
16 |         images[idx, :, :, :] = image * 2.0 - 1.0
17 |         filenames.append(os.path.basename(filepath))
18 |         idx+=1
19 |         if idx == batch_size:
20 |             yield filenames, images
21 |             filenames = []
22 |             images = np.zeros(batch_shape)
23 |             idx = 0
24 |     if idx > 0:
25 |         yield filenames, images
26 | 
27 | def show_image(a):
28 |     a = np.uint8((a+1.0)/2.0*255.0)
29 |     imshow(a)
30 | 
31 | def save_image(fn,a):
32 |     a = np.uint8((a+1.0)/2.0*255.0)
33 |     imsave(fn,a)
34 | 


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/model.py:
--------------------------------------------------------------------------------
 1 | import tensorflow as tf
 2 | from tensorflow.contrib.slim.nets import inception
 3 | import tensorflow.contrib.slim as slim
 4 | 
 5 | class InceptionV3(object):
 6 |     def __init__(self,num_classes):
 7 |         self.x_input = tf.placeholder(tf.float32,shape=[None,299,299,3],name="x_input")
 8 |         self.y = tf.placeholder(tf.int32,shape=[None],name="y_target")
 9 |         self.num_classes = num_classes
10 | 
11 |         #build inceptionV3
12 |         with slim.arg_scope(inception.inception_v3_arg_scope()):
13 |             self.logits,self.end_points = inception.inception_v3(
14 |                 self.x_input,num_classes=num_classes,is_training=False)
15 | 
16 |         self.loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=self.logits,labels=self.y,name='loss')
17 |         self.prob_predicts = self.end_points['Predictions']
18 |         self.predicts = tf.argmax(self.prob_predicts,axis=-1,name='predicts')
19 | 
20 |     def restore(self,checkpoint_file,sess):
21 |         variable_to_restore = slim.get_model_variables(scope='InceptionV3')
22 |         restore = slim.assign_from_checkpoint_fn(checkpoint_file, variable_to_restore)
23 |         restore(sess)
24 | 
25 |     def predict(self,images,sess):
26 |         return sess.run(self.prob_predicts,feed_dict={self.x_input:images})
27 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
  1 | # Byte-compiled / optimized / DLL files
  2 | __pycache__/
  3 | *.py[cod]
  4 | *$py.class
  5 | 
  6 | # C extensions
  7 | *.so
  8 | 
  9 | # Distribution / packaging
 10 | .Python
 11 | env/
 12 | build/
 13 | develop-eggs/
 14 | dist/
 15 | downloads/
 16 | eggs/
 17 | .eggs/
 18 | lib/
 19 | lib64/
 20 | parts/
 21 | sdist/
 22 | var/
 23 | wheels/
 24 | *.egg-info/
 25 | .installed.cfg
 26 | *.egg
 27 | 
 28 | # PyInstaller
 29 | #  Usually these files are written by a python script from a template
 30 | #  before PyInstaller builds the exe, so as to inject date/other infos into it.
 31 | *.manifest
 32 | *.spec
 33 | 
 34 | # Installer logs
 35 | pip-log.txt
 36 | pip-delete-this-directory.txt
 37 | 
 38 | # Unit test / coverage reports
 39 | htmlcov/
 40 | .tox/
 41 | .coverage
 42 | .coverage.*
 43 | .cache
 44 | nosetests.xml
 45 | coverage.xml
 46 | *.cover
 47 | .hypothesis/
 48 | 
 49 | # Translations
 50 | *.mo
 51 | *.pot
 52 | 
 53 | # Django stuff:
 54 | *.log
 55 | local_settings.py
 56 | 
 57 | # Flask stuff:
 58 | instance/
 59 | .webassets-cache
 60 | 
 61 | # Scrapy stuff:
 62 | .scrapy
 63 | 
 64 | # Sphinx documentation
 65 | docs/_build/
 66 | 
 67 | # PyBuilder
 68 | target/
 69 | 
 70 | # Jupyter Notebook
 71 | .ipynb_checkpoints
 72 | 
 73 | # pyenv
 74 | .python-version
 75 | 
 76 | # celery beat schedule file
 77 | celerybeat-schedule
 78 | 
 79 | # SageMath parsed files
 80 | *.sage.py
 81 | 
 82 | # dotenv
 83 | .env
 84 | 
 85 | # virtualenv
 86 | .venv
 87 | venv/
 88 | ENV/
 89 | 
 90 | # Spyder project settings
 91 | .spyderproject
 92 | .spyproject
 93 | 
 94 | # Rope project settings
 95 | .ropeproject
 96 | 
 97 | # mkdocs documentation
 98 | /site
 99 | 
100 | # mypy
101 | .mypy_cache/
102 | 
103 | # pycharm
104 | .idea/
105 | 


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/attack_method.py:
--------------------------------------------------------------------------------
 1 | import numpy as np
 2 | import tensorflow as tf
 3 | 
 4 | def fgm(model,eps=0.3,ord=np.inf,clip_min=None,clip_max=None,targeted=False,y=None):
 5 |     predictions = model.prob_predicts
 6 |     if y is None:
 7 |         y = tf.stop_gradient(tf.argmax(predictions,axis=-1)) #model.predicts
 8 |     else:
 9 |         y = tf.constant(y)
10 | 
11 |     loss = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=model.logits, labels=y)
12 |     if targeted:
13 |         loss = -loss
14 |     gradient = tf.gradients(loss,model.x_input)[0]
15 | 
16 |     if ord==np.inf:
17 |         signed_grad = tf.sign(gradient)
18 |     elif ord== 1:
19 |         reduc_ind = list(range(1, len(model.x_input.get_shape())))
20 |         signed_grad = gradient / tf.reduce_sum(tf.abs(gradient),
21 |                                            reduction_indices=reduc_ind,
22 |                                            keep_dims=True)
23 |     elif ord == 2:
24 |         reduc_ind = list(range(1,len(model.x_input.get_shape())))
25 |         signed_grad = gradient / tf.sqrt(tf.reduce_sum(tf.square(gradient),
26 |                                                        reduction_indices=reduc_ind,
27 |                                                        keep_dims=True))
28 |     else:
29 |         raise NotImplementedError
30 |     output = model.x_input + eps * signed_grad
31 | 
32 |     if (clip_min is not None) and (clip_max is not None):
33 |         output = tf.clip_by_value(output, clip_min, clip_max)
34 | 
35 |     return output
36 | 
37 | 
38 | def saliency_map(model):
39 |     predictions = model.prob_predicts
40 |     y = tf.stop_gradient(tf.argmax(predictions, axis=-1))
41 |     logits = tf.gather_nd(model.logits,
42 |                           tf.stack((tf.cast(tf.range(tf.shape(model.x_input)[0]),tf.int64),y),axis=1))
43 |     gradients = tf.gradients(logits,model.x_input)[0]
44 |     sm = tf.reduce_max(tf.abs(gradients),axis=-1)
45 |     return sm
46 | 


--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
 1 | import numpy as np
 2 | import pandas as pd
 3 | import tensorflow as tf
 4 | import argparse,glob,os
 5 | from model import InceptionV3
 6 | from utils import load_images,show_image,save_image
 7 | from attack_method import fgm,saliency_map
 8 | 
 9 | from sklearn.metrics import accuracy_score
10 | 
11 | parser = argparse.ArgumentParser("InceptionV3 model.")
12 | parser.add_argument('-c',"--checkpoint_file",default="./inception_v3.ckpt")
13 | parser.add_argument('-b',"--batch_size",default=32,type=int)
14 | args = parser.parse_args([])
15 | 
16 | batch_shape = [args.batch_size,299,299,3]
17 | #image_true_labels = pd.read_csv("images/images.csv")
18 | Id2name = pd.read_csv("images/categories.csv")
19 | #image_lc = image_true_labels[['TrueLabel','ImageId']]\
20 | #    .merge(image_true_cats,'left',left_on='TrueLabel',right_on='CategoryId')[['TrueLabel','CategoryName','ImageId']]
21 | image_lc = pd.read_csv("images/images_all.csv")
22 | image_iterator = load_images('images/images',batch_shape)
23 | 
24 | 
25 | sess = tf.Session()
26 | inceptionV3 = InceptionV3(num_classes=1001)
27 | inceptionV3.restore(args.checkpoint_file,sess)
28 | 
29 | #adversarial generating
30 | gen_adversarial_sample = fgm(inceptionV3,eps=0.01,clip_min=-1,clip_max=1)
31 | sm = saliency_map(inceptionV3)
32 | 
33 | writer = tf.summary.FileWriter('./graphs',sess.graph)
34 | writer.close()
35 | 
36 | 
37 | predictedIds = []
38 | adversarialPredictedIds = []
39 | imageIds = []
40 | for filenames, images in image_iterator:
41 |     print ("current batch size:",len(filenames))
42 |     adversarial_samples = sess.run(gen_adversarial_sample,feed_dict={inceptionV3.x_input:images})[:len(filenames)]
43 |     predictions = sess.run([inceptionV3.predicts,sm],feed_dict={inceptionV3.x_input:images})
44 |     adversarial_predictions = sess.run(inceptionV3.predicts,feed_dict={inceptionV3.x_input:adversarial_samples})[:len(filenames)]
45 | 
46 |     imageIds+=list(map(lambda x: x[:-4],filenames))
47 |     predictedIds+=list(predictions[0][:len(filenames)])
48 |     adversarialPredictedIds+=list(adversarial_predictions)
49 | 
50 |     for adv,fn in zip(adversarial_samples,filenames):
51 |         save_image("output/Attack_"+fn,adv)
52 | 
53 |     # generate saliency maps
54 | 
55 |     #sms = sess.run(sm, feed_dict={inceptionV3.x_input: images})[:len(filenames)]
56 |     #for sm_image,fn in zip(sms,filenames):
57 |     #    save_image("output/sm_"+fn,(sm_image-1.0)*2.)
58 | 
59 | 
60 | summary_frame = pd.DataFrame({"ImageId":imageIds,"predictedLabel":predictedIds,"adversarialLabel":adversarialPredictedIds})\
61 |     .merge(image_lc,how='left',on='ImageId')
62 | summary_frame = summary_frame.merge(Id2name,how='left',left_on='predictedLabel',right_on='CategoryId',suffixes=['_t','_p']).drop('CategoryId',axis=1)
63 | 
64 | print ("accuracy score:",accuracy_score(summary_frame.TrueLabel,summary_frame.predictedLabel))
65 | print ("accuracy score under attack:",accuracy_score(summary_frame.TrueLabel,summary_frame.adversarialLabel))
66 | 


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/images/categories.csv:
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   1 | CategoryId,CategoryName
   2 | 1,"tench, Tinca tinca"
   3 | 2,"goldfish, Carassius auratus"
   4 | 3,"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias"
   5 | 4,"tiger shark, Galeocerdo cuvieri"
   6 | 5,"hammerhead, hammerhead shark"
   7 | 6,"electric ray, crampfish, numbfish, torpedo"
   8 | 7,stingray
   9 | 8,cock
  10 | 9,hen
  11 | 10,"ostrich, Struthio camelus"
  12 | 11,"brambling, Fringilla montifringilla"
  13 | 12,"goldfinch, Carduelis carduelis"
  14 | 13,"house finch, linnet, Carpodacus mexicanus"
  15 | 14,"junco, snowbird"
  16 | 15,"indigo bunting, indigo finch, indigo bird, Passerina cyanea"
  17 | 16,"robin, American robin, Turdus migratorius"
  18 | 17,bulbul
  19 | 18,jay
  20 | 19,magpie
  21 | 20,chickadee
  22 | 21,"water ouzel, dipper"
  23 | 22,kite
  24 | 23,"bald eagle, American eagle, Haliaeetus leucocephalus"
  25 | 24,vulture
  26 | 25,"great grey owl, great gray owl, Strix nebulosa"
  27 | 26,"European fire salamander, Salamandra salamandra"
  28 | 27,"common newt, Triturus vulgaris"
  29 | 28,eft
  30 | 29,"spotted salamander, Ambystoma maculatum"
  31 | 30,"axolotl, mud puppy, Ambystoma mexicanum"
  32 | 31,"bullfrog, Rana catesbeiana"
  33 | 32,"tree frog, tree-frog"
  34 | 33,"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui"
  35 | 34,"loggerhead, loggerhead turtle, Caretta caretta"
  36 | 35,"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea"
  37 | 36,mud turtle
  38 | 37,terrapin
  39 | 38,"box turtle, box tortoise"
  40 | 39,banded gecko
  41 | 40,"common iguana, iguana, Iguana iguana"
  42 | 41,"American chameleon, anole, Anolis carolinensis"
  43 | 42,"whiptail, whiptail lizard"
  44 | 43,agama
  45 | 44,"frilled lizard, Chlamydosaurus kingi"
  46 | 45,alligator lizard
  47 | 46,"Gila monster, Heloderma suspectum"
  48 | 47,"green lizard, Lacerta viridis"
  49 | 48,"African chameleon, Chamaeleo chamaeleon"
  50 | 49,"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis"
  51 | 50,"African crocodile, Nile crocodile, Crocodylus niloticus"
  52 | 51,"American alligator, Alligator mississipiensis"
  53 | 52,triceratops
  54 | 53,"thunder snake, worm snake, Carphophis amoenus"
  55 | 54,"ringneck snake, ring-necked snake, ring snake"
  56 | 55,"hognose snake, puff adder, sand viper"
  57 | 56,"green snake, grass snake"
  58 | 57,"king snake, kingsnake"
  59 | 58,"garter snake, grass snake"
  60 | 59,water snake
  61 | 60,vine snake
  62 | 61,"night snake, Hypsiglena torquata"
  63 | 62,"boa constrictor, Constrictor constrictor"
  64 | 63,"rock python, rock snake, Python sebae"
  65 | 64,"Indian cobra, Naja naja"
  66 | 65,green mamba
  67 | 66,sea snake
  68 | 67,"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus"
  69 | 68,"diamondback, diamondback rattlesnake, Crotalus adamanteus"
  70 | 69,"sidewinder, horned rattlesnake, Crotalus cerastes"
  71 | 70,trilobite
  72 | 71,"harvestman, daddy longlegs, Phalangium opilio"
  73 | 72,scorpion
  74 | 73,"black and gold garden spider, Argiope aurantia"
  75 | 74,"barn spider, Araneus cavaticus"
  76 | 75,"garden spider, Aranea diademata"
  77 | 76,"black widow, Latrodectus mactans"
  78 | 77,tarantula
  79 | 78,"wolf spider, hunting spider"
  80 | 79,tick
  81 | 80,centipede
  82 | 81,black grouse
  83 | 82,ptarmigan
  84 | 83,"ruffed grouse, partridge, Bonasa umbellus"
  85 | 84,"prairie chicken, prairie grouse, prairie fowl"
  86 | 85,peacock
  87 | 86,quail
  88 | 87,partridge
  89 | 88,"African grey, African gray, Psittacus erithacus"
  90 | 89,macaw
  91 | 90,"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita"
  92 | 91,lorikeet
  93 | 92,coucal
  94 | 93,bee eater
  95 | 94,hornbill
  96 | 95,hummingbird
  97 | 96,jacamar
  98 | 97,toucan
  99 | 98,drake
 100 | 99,"red-breasted merganser, Mergus serrator"
 101 | 100,goose
 102 | 101,"black swan, Cygnus atratus"
 103 | 102,tusker
 104 | 103,"echidna, spiny anteater, anteater"
 105 | 104,"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus"
 106 | 105,"wallaby, brush kangaroo"
 107 | 106,"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus"
 108 | 107,wombat
 109 | 108,jellyfish
 110 | 109,"sea anemone, anemone"
 111 | 110,brain coral
 112 | 111,"flatworm, platyhelminth"
 113 | 112,"nematode, nematode worm, roundworm"
 114 | 113,conch
 115 | 114,snail
 116 | 115,slug
 117 | 116,"sea slug, nudibranch"
 118 | 117,"chiton, coat-of-mail shell, sea cradle, polyplacophore"
 119 | 118,"chambered nautilus, pearly nautilus, nautilus"
 120 | 119,"Dungeness crab, Cancer magister"
 121 | 120,"rock crab, Cancer irroratus"
 122 | 121,fiddler crab
 123 | 122,"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica"
 124 | 123,"American lobster, Northern lobster, Maine lobster, Homarus americanus"
 125 | 124,"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish"
 126 | 125,"crayfish, crawfish, crawdad, crawdaddy"
 127 | 126,hermit crab
 128 | 127,isopod
 129 | 128,"white stork, Ciconia ciconia"
 130 | 129,"black stork, Ciconia nigra"
 131 | 130,spoonbill
 132 | 131,flamingo
 133 | 132,"little blue heron, Egretta caerulea"
 134 | 133,"American egret, great white heron, Egretta albus"
 135 | 134,bittern
 136 | 135,crane
 137 | 136,"limpkin, Aramus pictus"
 138 | 137,"European gallinule, Porphyrio porphyrio"
 139 | 138,"American coot, marsh hen, mud hen, water hen, Fulica americana"
 140 | 139,bustard
 141 | 140,"ruddy turnstone, Arenaria interpres"
 142 | 141,"red-backed sandpiper, dunlin, Erolia alpina"
 143 | 142,"redshank, Tringa totanus"
 144 | 143,dowitcher
 145 | 144,"oystercatcher, oyster catcher"
 146 | 145,pelican
 147 | 146,"king penguin, Aptenodytes patagonica"
 148 | 147,"albatross, mollymawk"
 149 | 148,"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus"
 150 | 149,"killer whale, killer, orca, grampus, sea wolf, Orcinus orca"
 151 | 150,"dugong, Dugong dugon"
 152 | 151,sea lion
 153 | 152,Chihuahua
 154 | 153,Japanese spaniel
 155 | 154,"Maltese dog, Maltese terrier, Maltese"
 156 | 155,"Pekinese, Pekingese, Peke"
 157 | 156,Shih-Tzu
 158 | 157,Blenheim spaniel
 159 | 158,papillon
 160 | 159,toy terrier
 161 | 160,Rhodesian ridgeback
 162 | 161,"Afghan hound, Afghan"
 163 | 162,"basset, basset hound"
 164 | 163,beagle
 165 | 164,"bloodhound, sleuthhound"
 166 | 165,bluetick
 167 | 166,black-and-tan coonhound
 168 | 167,"Walker hound, Walker foxhound"
 169 | 168,English foxhound
 170 | 169,redbone
 171 | 170,"borzoi, Russian wolfhound"
 172 | 171,Irish wolfhound
 173 | 172,Italian greyhound
 174 | 173,whippet
 175 | 174,"Ibizan hound, Ibizan Podenco"
 176 | 175,"Norwegian elkhound, elkhound"
 177 | 176,"otterhound, otter hound"
 178 | 177,"Saluki, gazelle hound"
 179 | 178,"Scottish deerhound, deerhound"
 180 | 179,Weimaraner
 181 | 180,"Staffordshire bullterrier, Staffordshire bull terrier"
 182 | 181,"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier"
 183 | 182,Bedlington terrier
 184 | 183,Border terrier
 185 | 184,Kerry blue terrier
 186 | 185,Irish terrier
 187 | 186,Norfolk terrier
 188 | 187,Norwich terrier
 189 | 188,Yorkshire terrier
 190 | 189,wire-haired fox terrier
 191 | 190,Lakeland terrier
 192 | 191,"Sealyham terrier, Sealyham"
 193 | 192,"Airedale, Airedale terrier"
 194 | 193,"cairn, cairn terrier"
 195 | 194,Australian terrier
 196 | 195,"Dandie Dinmont, Dandie Dinmont terrier"
 197 | 196,"Boston bull, Boston terrier"
 198 | 197,miniature schnauzer
 199 | 198,giant schnauzer
 200 | 199,standard schnauzer
 201 | 200,"Scotch terrier, Scottish terrier, Scottie"
 202 | 201,"Tibetan terrier, chrysanthemum dog"
 203 | 202,"silky terrier, Sydney silky"
 204 | 203,soft-coated wheaten terrier
 205 | 204,West Highland white terrier
 206 | 205,"Lhasa, Lhasa apso"
 207 | 206,flat-coated retriever
 208 | 207,curly-coated retriever
 209 | 208,golden retriever
 210 | 209,Labrador retriever
 211 | 210,Chesapeake Bay retriever
 212 | 211,German short-haired pointer
 213 | 212,"vizsla, Hungarian pointer"
 214 | 213,English setter
 215 | 214,"Irish setter, red setter"
 216 | 215,Gordon setter
 217 | 216,Brittany spaniel
 218 | 217,"clumber, clumber spaniel"
 219 | 218,"English springer, English springer spaniel"
 220 | 219,Welsh springer spaniel
 221 | 220,"cocker spaniel, English cocker spaniel, cocker"
 222 | 221,Sussex spaniel
 223 | 222,Irish water spaniel
 224 | 223,kuvasz
 225 | 224,schipperke
 226 | 225,groenendael
 227 | 226,malinois
 228 | 227,briard
 229 | 228,kelpie
 230 | 229,komondor
 231 | 230,"Old English sheepdog, bobtail"
 232 | 231,"Shetland sheepdog, Shetland sheep dog, Shetland"
 233 | 232,collie
 234 | 233,Border collie
 235 | 234,"Bouvier des Flandres, Bouviers des Flandres"
 236 | 235,Rottweiler
 237 | 236,"German shepherd, German shepherd dog, German police dog, alsatian"
 238 | 237,"Doberman, Doberman pinscher"
 239 | 238,miniature pinscher
 240 | 239,Greater Swiss Mountain dog
 241 | 240,Bernese mountain dog
 242 | 241,Appenzeller
 243 | 242,EntleBucher
 244 | 243,boxer
 245 | 244,bull mastiff
 246 | 245,Tibetan mastiff
 247 | 246,French bulldog
 248 | 247,Great Dane
 249 | 248,"Saint Bernard, St Bernard"
 250 | 249,"Eskimo dog, husky"
 251 | 250,"malamute, malemute, Alaskan malamute"
 252 | 251,Siberian husky
 253 | 252,"dalmatian, coach dog, carriage dog"
 254 | 253,"affenpinscher, monkey pinscher, monkey dog"
 255 | 254,basenji
 256 | 255,"pug, pug-dog"
 257 | 256,Leonberg
 258 | 257,"Newfoundland, Newfoundland dog"
 259 | 258,Great Pyrenees
 260 | 259,"Samoyed, Samoyede"
 261 | 260,Pomeranian
 262 | 261,"chow, chow chow"
 263 | 262,keeshond
 264 | 263,Brabancon griffon
 265 | 264,"Pembroke, Pembroke Welsh corgi"
 266 | 265,"Cardigan, Cardigan Welsh corgi"
 267 | 266,toy poodle
 268 | 267,miniature poodle
 269 | 268,standard poodle
 270 | 269,Mexican hairless
 271 | 270,"timber wolf, grey wolf, gray wolf, Canis lupus"
 272 | 271,"white wolf, Arctic wolf, Canis lupus tundrarum"
 273 | 272,"red wolf, maned wolf, Canis rufus, Canis niger"
 274 | 273,"coyote, prairie wolf, brush wolf, Canis latrans"
 275 | 274,"dingo, warrigal, warragal, Canis dingo"
 276 | 275,"dhole, Cuon alpinus"
 277 | 276,"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus"
 278 | 277,"hyena, hyaena"
 279 | 278,"red fox, Vulpes vulpes"
 280 | 279,"kit fox, Vulpes macrotis"
 281 | 280,"Arctic fox, white fox, Alopex lagopus"
 282 | 281,"grey fox, gray fox, Urocyon cinereoargenteus"
 283 | 282,"tabby, tabby cat"
 284 | 283,tiger cat
 285 | 284,Persian cat
 286 | 285,"Siamese cat, Siamese"
 287 | 286,Egyptian cat
 288 | 287,"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor"
 289 | 288,"lynx, catamount"
 290 | 289,"leopard, Panthera pardus"
 291 | 290,"snow leopard, ounce, Panthera uncia"
 292 | 291,"jaguar, panther, Panthera onca, Felis onca"
 293 | 292,"lion, king of beasts, Panthera leo"
 294 | 293,"tiger, Panthera tigris"
 295 | 294,"cheetah, chetah, Acinonyx jubatus"
 296 | 295,"brown bear, bruin, Ursus arctos"
 297 | 296,"American black bear, black bear, Ursus americanus, Euarctos americanus"
 298 | 297,"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus"
 299 | 298,"sloth bear, Melursus ursinus, Ursus ursinus"
 300 | 299,mongoose
 301 | 300,"meerkat, mierkat"
 302 | 301,tiger beetle
 303 | 302,"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle"
 304 | 303,"ground beetle, carabid beetle"
 305 | 304,"long-horned beetle, longicorn, longicorn beetle"
 306 | 305,"leaf beetle, chrysomelid"
 307 | 306,dung beetle
 308 | 307,rhinoceros beetle
 309 | 308,weevil
 310 | 309,fly
 311 | 310,bee
 312 | 311,"ant, emmet, pismire"
 313 | 312,"grasshopper, hopper"
 314 | 313,cricket
 315 | 314,"walking stick, walkingstick, stick insect"
 316 | 315,"cockroach, roach"
 317 | 316,"mantis, mantid"
 318 | 317,"cicada, cicala"
 319 | 318,leafhopper
 320 | 319,"lacewing, lacewing fly"
 321 | 320,"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk"
 322 | 321,damselfly
 323 | 322,admiral
 324 | 323,"ringlet, ringlet butterfly"
 325 | 324,"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus"
 326 | 325,cabbage butterfly
 327 | 326,"sulphur butterfly, sulfur butterfly"
 328 | 327,"lycaenid, lycaenid butterfly"
 329 | 328,"starfish, sea star"
 330 | 329,sea urchin
 331 | 330,"sea cucumber, holothurian"
 332 | 331,"wood rabbit, cottontail, cottontail rabbit"
 333 | 332,hare
 334 | 333,"Angora, Angora rabbit"
 335 | 334,hamster
 336 | 335,"porcupine, hedgehog"
 337 | 336,"fox squirrel, eastern fox squirrel, Sciurus niger"
 338 | 337,marmot
 339 | 338,beaver
 340 | 339,"guinea pig, Cavia cobaya"
 341 | 340,sorrel
 342 | 341,zebra
 343 | 342,"hog, pig, grunter, squealer, Sus scrofa"
 344 | 343,"wild boar, boar, Sus scrofa"
 345 | 344,warthog
 346 | 345,"hippopotamus, hippo, river horse, Hippopotamus amphibius"
 347 | 346,ox
 348 | 347,"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis"
 349 | 348,bison
 350 | 349,"ram, tup"
 351 | 350,"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis"
 352 | 351,"ibex, Capra ibex"
 353 | 352,hartebeest
 354 | 353,"impala, Aepyceros melampus"
 355 | 354,gazelle
 356 | 355,"Arabian camel, dromedary, Camelus dromedarius"
 357 | 356,llama
 358 | 357,weasel
 359 | 358,mink
 360 | 359,"polecat, fitch, foulmart, foumart, Mustela putorius"
 361 | 360,"black-footed ferret, ferret, Mustela nigripes"
 362 | 361,otter
 363 | 362,"skunk, polecat, wood pussy"
 364 | 363,badger
 365 | 364,armadillo
 366 | 365,"three-toed sloth, ai, Bradypus tridactylus"
 367 | 366,"orangutan, orang, orangutang, Pongo pygmaeus"
 368 | 367,"gorilla, Gorilla gorilla"
 369 | 368,"chimpanzee, chimp, Pan troglodytes"
 370 | 369,"gibbon, Hylobates lar"
 371 | 370,"siamang, Hylobates syndactylus, Symphalangus syndactylus"
 372 | 371,"guenon, guenon monkey"
 373 | 372,"patas, hussar monkey, Erythrocebus patas"
 374 | 373,baboon
 375 | 374,macaque
 376 | 375,langur
 377 | 376,"colobus, colobus monkey"
 378 | 377,"proboscis monkey, Nasalis larvatus"
 379 | 378,marmoset
 380 | 379,"capuchin, ringtail, Cebus capucinus"
 381 | 380,"howler monkey, howler"
 382 | 381,"titi, titi monkey"
 383 | 382,"spider monkey, Ateles geoffroyi"
 384 | 383,"squirrel monkey, Saimiri sciureus"
 385 | 384,"Madagascar cat, ring-tailed lemur, Lemur catta"
 386 | 385,"indri, indris, Indri indri, Indri brevicaudatus"
 387 | 386,"Indian elephant, Elephas maximus"
 388 | 387,"African elephant, Loxodonta africana"
 389 | 388,"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens"
 390 | 389,"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca"
 391 | 390,"barracouta, snoek"
 392 | 391,eel
 393 | 392,"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch"
 394 | 393,"rock beauty, Holocanthus tricolor"
 395 | 394,anemone fish
 396 | 395,sturgeon
 397 | 396,"gar, garfish, garpike, billfish, Lepisosteus osseus"
 398 | 397,lionfish
 399 | 398,"puffer, pufferfish, blowfish, globefish"
 400 | 399,abacus
 401 | 400,abaya
 402 | 401,"academic gown, academic robe, judge's robe"
 403 | 402,"accordion, piano accordion, squeeze box"
 404 | 403,acoustic guitar
 405 | 404,"aircraft carrier, carrier, flattop, attack aircraft carrier"
 406 | 405,airliner
 407 | 406,"airship, dirigible"
 408 | 407,altar
 409 | 408,ambulance
 410 | 409,"amphibian, amphibious vehicle"
 411 | 410,analog clock
 412 | 411,"apiary, bee house"
 413 | 412,apron
 414 | 413,"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin"
 415 | 414,"assault rifle, assault gun"
 416 | 415,"backpack, back pack, knapsack, packsack, rucksack, haversack"
 417 | 416,"bakery, bakeshop, bakehouse"
 418 | 417,"balance beam, beam"
 419 | 418,balloon
 420 | 419,"ballpoint, ballpoint pen, ballpen, Biro"
 421 | 420,Band Aid
 422 | 421,banjo
 423 | 422,"bannister, banister, balustrade, balusters, handrail"
 424 | 423,barbell
 425 | 424,barber chair
 426 | 425,barbershop
 427 | 426,barn
 428 | 427,barometer
 429 | 428,"barrel, cask"
 430 | 429,"barrow, garden cart, lawn cart, wheelbarrow"
 431 | 430,baseball
 432 | 431,basketball
 433 | 432,bassinet
 434 | 433,bassoon
 435 | 434,"bathing cap, swimming cap"
 436 | 435,bath towel
 437 | 436,"bathtub, bathing tub, bath, tub"
 438 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon"
 439 | 438,"beacon, lighthouse, beacon light, pharos"
 440 | 439,beaker
 441 | 440,"bearskin, busby, shako"
 442 | 441,beer bottle
 443 | 442,beer glass
 444 | 443,"bell cote, bell cot"
 445 | 444,bib
 446 | 445,"bicycle-built-for-two, tandem bicycle, tandem"
 447 | 446,"bikini, two-piece"
 448 | 447,"binder, ring-binder"
 449 | 448,"binoculars, field glasses, opera glasses"
 450 | 449,birdhouse
 451 | 450,boathouse
 452 | 451,"bobsled, bobsleigh, bob"
 453 | 452,"bolo tie, bolo, bola tie, bola"
 454 | 453,"bonnet, poke bonnet"
 455 | 454,bookcase
 456 | 455,"bookshop, bookstore, bookstall"
 457 | 456,bottlecap
 458 | 457,bow
 459 | 458,"bow tie, bow-tie, bowtie"
 460 | 459,"brass, memorial tablet, plaque"
 461 | 460,"brassiere, bra, bandeau"
 462 | 461,"breakwater, groin, groyne, mole, bulwark, seawall, jetty"
 463 | 462,"breastplate, aegis, egis"
 464 | 463,broom
 465 | 464,"bucket, pail"
 466 | 465,buckle
 467 | 466,bulletproof vest
 468 | 467,"bullet train, bullet"
 469 | 468,"butcher shop, meat market"
 470 | 469,"cab, hack, taxi, taxicab"
 471 | 470,"caldron, cauldron"
 472 | 471,"candle, taper, wax light"
 473 | 472,cannon
 474 | 473,canoe
 475 | 474,"can opener, tin opener"
 476 | 475,cardigan
 477 | 476,car mirror
 478 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig"
 479 | 478,"carpenter's kit, tool kit"
 480 | 479,carton
 481 | 480,car wheel
 482 | 481,"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM"
 483 | 482,cassette
 484 | 483,cassette player
 485 | 484,castle
 486 | 485,catamaran
 487 | 486,CD player
 488 | 487,"cello, violoncello"
 489 | 488,"cellular telephone, cellular phone, cellphone, cell, mobile phone"
 490 | 489,chain
 491 | 490,chainlink fence
 492 | 491,"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour"
 493 | 492,"chain saw, chainsaw"
 494 | 493,chest
 495 | 494,"chiffonier, commode"
 496 | 495,"chime, bell, gong"
 497 | 496,"china cabinet, china closet"
 498 | 497,Christmas stocking
 499 | 498,"church, church building"
 500 | 499,"cinema, movie theater, movie theatre, movie house, picture palace"
 501 | 500,"cleaver, meat cleaver, chopper"
 502 | 501,cliff dwelling
 503 | 502,cloak
 504 | 503,"clog, geta, patten, sabot"
 505 | 504,cocktail shaker
 506 | 505,coffee mug
 507 | 506,coffeepot
 508 | 507,"coil, spiral, volute, whorl, helix"
 509 | 508,combination lock
 510 | 509,"computer keyboard, keypad"
 511 | 510,"confectionery, confectionary, candy store"
 512 | 511,"container ship, containership, container vessel"
 513 | 512,convertible
 514 | 513,"corkscrew, bottle screw"
 515 | 514,"cornet, horn, trumpet, trump"
 516 | 515,cowboy boot
 517 | 516,"cowboy hat, ten-gallon hat"
 518 | 517,cradle
 519 | 518,crane
 520 | 519,crash helmet
 521 | 520,crate
 522 | 521,"crib, cot"
 523 | 522,Crock Pot
 524 | 523,croquet ball
 525 | 524,crutch
 526 | 525,cuirass
 527 | 526,"dam, dike, dyke"
 528 | 527,desk
 529 | 528,desktop computer
 530 | 529,"dial telephone, dial phone"
 531 | 530,"diaper, nappy, napkin"
 532 | 531,digital clock
 533 | 532,digital watch
 534 | 533,"dining table, board"
 535 | 534,"dishrag, dishcloth"
 536 | 535,"dishwasher, dish washer, dishwashing machine"
 537 | 536,"disk brake, disc brake"
 538 | 537,"dock, dockage, docking facility"
 539 | 538,"dogsled, dog sled, dog sleigh"
 540 | 539,dome
 541 | 540,"doormat, welcome mat"
 542 | 541,"drilling platform, offshore rig"
 543 | 542,"drum, membranophone, tympan"
 544 | 543,drumstick
 545 | 544,dumbbell
 546 | 545,Dutch oven
 547 | 546,"electric fan, blower"
 548 | 547,electric guitar
 549 | 548,electric locomotive
 550 | 549,entertainment center
 551 | 550,envelope
 552 | 551,espresso maker
 553 | 552,face powder
 554 | 553,"feather boa, boa"
 555 | 554,"file, file cabinet, filing cabinet"
 556 | 555,fireboat
 557 | 556,"fire engine, fire truck"
 558 | 557,"fire screen, fireguard"
 559 | 558,"flagpole, flagstaff"
 560 | 559,"flute, transverse flute"
 561 | 560,folding chair
 562 | 561,football helmet
 563 | 562,forklift
 564 | 563,fountain
 565 | 564,fountain pen
 566 | 565,four-poster
 567 | 566,freight car
 568 | 567,"French horn, horn"
 569 | 568,"frying pan, frypan, skillet"
 570 | 569,fur coat
 571 | 570,"garbage truck, dustcart"
 572 | 571,"gasmask, respirator, gas helmet"
 573 | 572,"gas pump, gasoline pump, petrol pump, island dispenser"
 574 | 573,goblet
 575 | 574,go-kart
 576 | 575,golf ball
 577 | 576,"golfcart, golf cart"
 578 | 577,gondola
 579 | 578,"gong, tam-tam"
 580 | 579,gown
 581 | 580,"grand piano, grand"
 582 | 581,"greenhouse, nursery, glasshouse"
 583 | 582,"grille, radiator grille"
 584 | 583,"grocery store, grocery, food market, market"
 585 | 584,guillotine
 586 | 585,hair slide
 587 | 586,hair spray
 588 | 587,half track
 589 | 588,hammer
 590 | 589,hamper
 591 | 590,"hand blower, blow dryer, blow drier, hair dryer, hair drier"
 592 | 591,"hand-held computer, hand-held microcomputer"
 593 | 592,"handkerchief, hankie, hanky, hankey"
 594 | 593,"hard disc, hard disk, fixed disk"
 595 | 594,"harmonica, mouth organ, harp, mouth harp"
 596 | 595,harp
 597 | 596,"harvester, reaper"
 598 | 597,hatchet
 599 | 598,holster
 600 | 599,"home theater, home theatre"
 601 | 600,honeycomb
 602 | 601,"hook, claw"
 603 | 602,"hoopskirt, crinoline"
 604 | 603,"horizontal bar, high bar"
 605 | 604,"horse cart, horse-cart"
 606 | 605,hourglass
 607 | 606,iPod
 608 | 607,"iron, smoothing iron"
 609 | 608,jack-o'-lantern
 610 | 609,"jean, blue jean, denim"
 611 | 610,"jeep, landrover"
 612 | 611,"jersey, T-shirt, tee shirt"
 613 | 612,jigsaw puzzle
 614 | 613,"jinrikisha, ricksha, rickshaw"
 615 | 614,joystick
 616 | 615,kimono
 617 | 616,knee pad
 618 | 617,knot
 619 | 618,"lab coat, laboratory coat"
 620 | 619,ladle
 621 | 620,"lampshade, lamp shade"
 622 | 621,"laptop, laptop computer"
 623 | 622,"lawn mower, mower"
 624 | 623,"lens cap, lens cover"
 625 | 624,"letter opener, paper knife, paperknife"
 626 | 625,library
 627 | 626,lifeboat
 628 | 627,"lighter, light, igniter, ignitor"
 629 | 628,"limousine, limo"
 630 | 629,"liner, ocean liner"
 631 | 630,"lipstick, lip rouge"
 632 | 631,Loafer
 633 | 632,lotion
 634 | 633,"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system"
 635 | 634,"loupe, jeweler's loupe"
 636 | 635,"lumbermill, sawmill"
 637 | 636,magnetic compass
 638 | 637,"mailbag, postbag"
 639 | 638,"mailbox, letter box"
 640 | 639,maillot
 641 | 640,"maillot, tank suit"
 642 | 641,manhole cover
 643 | 642,maraca
 644 | 643,"marimba, xylophone"
 645 | 644,mask
 646 | 645,matchstick
 647 | 646,maypole
 648 | 647,"maze, labyrinth"
 649 | 648,measuring cup
 650 | 649,"medicine chest, medicine cabinet"
 651 | 650,"megalith, megalithic structure"
 652 | 651,"microphone, mike"
 653 | 652,"microwave, microwave oven"
 654 | 653,military uniform
 655 | 654,milk can
 656 | 655,minibus
 657 | 656,"miniskirt, mini"
 658 | 657,minivan
 659 | 658,missile
 660 | 659,mitten
 661 | 660,mixing bowl
 662 | 661,"mobile home, manufactured home"
 663 | 662,Model T
 664 | 663,modem
 665 | 664,monastery
 666 | 665,monitor
 667 | 666,moped
 668 | 667,mortar
 669 | 668,mortarboard
 670 | 669,mosque
 671 | 670,mosquito net
 672 | 671,"motor scooter, scooter"
 673 | 672,"mountain bike, all-terrain bike, off-roader"
 674 | 673,mountain tent
 675 | 674,"mouse, computer mouse"
 676 | 675,mousetrap
 677 | 676,moving van
 678 | 677,muzzle
 679 | 678,nail
 680 | 679,neck brace
 681 | 680,necklace
 682 | 681,nipple
 683 | 682,"notebook, notebook computer"
 684 | 683,obelisk
 685 | 684,"oboe, hautboy, hautbois"
 686 | 685,"ocarina, sweet potato"
 687 | 686,"odometer, hodometer, mileometer, milometer"
 688 | 687,oil filter
 689 | 688,"organ, pipe organ"
 690 | 689,"oscilloscope, scope, cathode-ray oscilloscope, CRO"
 691 | 690,overskirt
 692 | 691,oxcart
 693 | 692,oxygen mask
 694 | 693,packet
 695 | 694,"paddle, boat paddle"
 696 | 695,"paddlewheel, paddle wheel"
 697 | 696,padlock
 698 | 697,paintbrush
 699 | 698,"pajama, pyjama, pj's, jammies"
 700 | 699,palace
 701 | 700,"panpipe, pandean pipe, syrinx"
 702 | 701,paper towel
 703 | 702,"parachute, chute"
 704 | 703,"parallel bars, bars"
 705 | 704,park bench
 706 | 705,parking meter
 707 | 706,"passenger car, coach, carriage"
 708 | 707,"patio, terrace"
 709 | 708,"pay-phone, pay-station"
 710 | 709,"pedestal, plinth, footstall"
 711 | 710,"pencil box, pencil case"
 712 | 711,pencil sharpener
 713 | 712,"perfume, essence"
 714 | 713,Petri dish
 715 | 714,photocopier
 716 | 715,"pick, plectrum, plectron"
 717 | 716,pickelhaube
 718 | 717,"picket fence, paling"
 719 | 718,"pickup, pickup truck"
 720 | 719,pier
 721 | 720,"piggy bank, penny bank"
 722 | 721,pill bottle
 723 | 722,pillow
 724 | 723,ping-pong ball
 725 | 724,pinwheel
 726 | 725,"pirate, pirate ship"
 727 | 726,"pitcher, ewer"
 728 | 727,"plane, carpenter's plane, woodworking plane"
 729 | 728,planetarium
 730 | 729,plastic bag
 731 | 730,plate rack
 732 | 731,"plow, plough"
 733 | 732,"plunger, plumber's helper"
 734 | 733,"Polaroid camera, Polaroid Land camera"
 735 | 734,pole
 736 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria"
 737 | 736,poncho
 738 | 737,"pool table, billiard table, snooker table"
 739 | 738,"pop bottle, soda bottle"
 740 | 739,"pot, flowerpot"
 741 | 740,potter's wheel
 742 | 741,power drill
 743 | 742,"prayer rug, prayer mat"
 744 | 743,printer
 745 | 744,"prison, prison house"
 746 | 745,"projectile, missile"
 747 | 746,projector
 748 | 747,"puck, hockey puck"
 749 | 748,"punching bag, punch bag, punching ball, punchball"
 750 | 749,purse
 751 | 750,"quill, quill pen"
 752 | 751,"quilt, comforter, comfort, puff"
 753 | 752,"racer, race car, racing car"
 754 | 753,"racket, racquet"
 755 | 754,radiator
 756 | 755,"radio, wireless"
 757 | 756,"radio telescope, radio reflector"
 758 | 757,rain barrel
 759 | 758,"recreational vehicle, RV, R.V."
 760 | 759,reel
 761 | 760,reflex camera
 762 | 761,"refrigerator, icebox"
 763 | 762,"remote control, remote"
 764 | 763,"restaurant, eating house, eating place, eatery"
 765 | 764,"revolver, six-gun, six-shooter"
 766 | 765,rifle
 767 | 766,"rocking chair, rocker"
 768 | 767,rotisserie
 769 | 768,"rubber eraser, rubber, pencil eraser"
 770 | 769,rugby ball
 771 | 770,"rule, ruler"
 772 | 771,running shoe
 773 | 772,safe
 774 | 773,safety pin
 775 | 774,"saltshaker, salt shaker"
 776 | 775,sandal
 777 | 776,sarong
 778 | 777,"sax, saxophone"
 779 | 778,scabbard
 780 | 779,"scale, weighing machine"
 781 | 780,school bus
 782 | 781,schooner
 783 | 782,scoreboard
 784 | 783,"screen, CRT screen"
 785 | 784,screw
 786 | 785,screwdriver
 787 | 786,"seat belt, seatbelt"
 788 | 787,sewing machine
 789 | 788,"shield, buckler"
 790 | 789,"shoe shop, shoe-shop, shoe store"
 791 | 790,shoji
 792 | 791,shopping basket
 793 | 792,shopping cart
 794 | 793,shovel
 795 | 794,shower cap
 796 | 795,shower curtain
 797 | 796,ski
 798 | 797,ski mask
 799 | 798,sleeping bag
 800 | 799,"slide rule, slipstick"
 801 | 800,sliding door
 802 | 801,"slot, one-armed bandit"
 803 | 802,snorkel
 804 | 803,snowmobile
 805 | 804,"snowplow, snowplough"
 806 | 805,soap dispenser
 807 | 806,soccer ball
 808 | 807,sock
 809 | 808,"solar dish, solar collector, solar furnace"
 810 | 809,sombrero
 811 | 810,soup bowl
 812 | 811,space bar
 813 | 812,space heater
 814 | 813,space shuttle
 815 | 814,spatula
 816 | 815,speedboat
 817 | 816,"spider web, spider's web"
 818 | 817,spindle
 819 | 818,"sports car, sport car"
 820 | 819,"spotlight, spot"
 821 | 820,stage
 822 | 821,steam locomotive
 823 | 822,steel arch bridge
 824 | 823,steel drum
 825 | 824,stethoscope
 826 | 825,stole
 827 | 826,stone wall
 828 | 827,"stopwatch, stop watch"
 829 | 828,stove
 830 | 829,strainer
 831 | 830,"streetcar, tram, tramcar, trolley, trolley car"
 832 | 831,stretcher
 833 | 832,"studio couch, day bed"
 834 | 833,"stupa, tope"
 835 | 834,"submarine, pigboat, sub, U-boat"
 836 | 835,"suit, suit of clothes"
 837 | 836,sundial
 838 | 837,sunglass
 839 | 838,"sunglasses, dark glasses, shades"
 840 | 839,"sunscreen, sunblock, sun blocker"
 841 | 840,suspension bridge
 842 | 841,"swab, swob, mop"
 843 | 842,sweatshirt
 844 | 843,"swimming trunks, bathing trunks"
 845 | 844,swing
 846 | 845,"switch, electric switch, electrical switch"
 847 | 846,syringe
 848 | 847,table lamp
 849 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle"
 850 | 849,tape player
 851 | 850,teapot
 852 | 851,"teddy, teddy bear"
 853 | 852,"television, television system"
 854 | 853,tennis ball
 855 | 854,"thatch, thatched roof"
 856 | 855,"theater curtain, theatre curtain"
 857 | 856,thimble
 858 | 857,"thresher, thrasher, threshing machine"
 859 | 858,throne
 860 | 859,tile roof
 861 | 860,toaster
 862 | 861,"tobacco shop, tobacconist shop, tobacconist"
 863 | 862,toilet seat
 864 | 863,torch
 865 | 864,totem pole
 866 | 865,"tow truck, tow car, wrecker"
 867 | 866,toyshop
 868 | 867,tractor
 869 | 868,"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi"
 870 | 869,tray
 871 | 870,trench coat
 872 | 871,"tricycle, trike, velocipede"
 873 | 872,trimaran
 874 | 873,tripod
 875 | 874,triumphal arch
 876 | 875,"trolleybus, trolley coach, trackless trolley"
 877 | 876,trombone
 878 | 877,"tub, vat"
 879 | 878,turnstile
 880 | 879,typewriter keyboard
 881 | 880,umbrella
 882 | 881,"unicycle, monocycle"
 883 | 882,"upright, upright piano"
 884 | 883,"vacuum, vacuum cleaner"
 885 | 884,vase
 886 | 885,vault
 887 | 886,velvet
 888 | 887,vending machine
 889 | 888,vestment
 890 | 889,viaduct
 891 | 890,"violin, fiddle"
 892 | 891,volleyball
 893 | 892,waffle iron
 894 | 893,wall clock
 895 | 894,"wallet, billfold, notecase, pocketbook"
 896 | 895,"wardrobe, closet, press"
 897 | 896,"warplane, military plane"
 898 | 897,"washbasin, handbasin, washbowl, lavabo, wash-hand basin"
 899 | 898,"washer, automatic washer, washing machine"
 900 | 899,water bottle
 901 | 900,water jug
 902 | 901,water tower
 903 | 902,whiskey jug
 904 | 903,whistle
 905 | 904,wig
 906 | 905,window screen
 907 | 906,window shade
 908 | 907,Windsor tie
 909 | 908,wine bottle
 910 | 909,wing
 911 | 910,wok
 912 | 911,wooden spoon
 913 | 912,"wool, woolen, woollen"
 914 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence"
 915 | 914,wreck
 916 | 915,yawl
 917 | 916,yurt
 918 | 917,"web site, website, internet site, site"
 919 | 918,comic book
 920 | 919,"crossword puzzle, crossword"
 921 | 920,street sign
 922 | 921,"traffic light, traffic signal, stoplight"
 923 | 922,"book jacket, dust cover, dust jacket, dust wrapper"
 924 | 923,menu
 925 | 924,plate
 926 | 925,guacamole
 927 | 926,consomme
 928 | 927,"hot pot, hotpot"
 929 | 928,trifle
 930 | 929,"ice cream, icecream"
 931 | 930,"ice lolly, lolly, lollipop, popsicle"
 932 | 931,French loaf
 933 | 932,"bagel, beigel"
 934 | 933,pretzel
 935 | 934,cheeseburger
 936 | 935,"hotdog, hot dog, red hot"
 937 | 936,mashed potato
 938 | 937,head cabbage
 939 | 938,broccoli
 940 | 939,cauliflower
 941 | 940,"zucchini, courgette"
 942 | 941,spaghetti squash
 943 | 942,acorn squash
 944 | 943,butternut squash
 945 | 944,"cucumber, cuke"
 946 | 945,"artichoke, globe artichoke"
 947 | 946,bell pepper
 948 | 947,cardoon
 949 | 948,mushroom
 950 | 949,Granny Smith
 951 | 950,strawberry
 952 | 951,orange
 953 | 952,lemon
 954 | 953,fig
 955 | 954,"pineapple, ananas"
 956 | 955,banana
 957 | 956,"jackfruit, jak, jack"
 958 | 957,custard apple
 959 | 958,pomegranate
 960 | 959,hay
 961 | 960,carbonara
 962 | 961,"chocolate sauce, chocolate syrup"
 963 | 962,dough
 964 | 963,"meat loaf, meatloaf"
 965 | 964,"pizza, pizza pie"
 966 | 965,potpie
 967 | 966,burrito
 968 | 967,red wine
 969 | 968,espresso
 970 | 969,cup
 971 | 970,eggnog
 972 | 971,alp
 973 | 972,bubble
 974 | 973,"cliff, drop, drop-off"
 975 | 974,coral reef
 976 | 975,geyser
 977 | 976,"lakeside, lakeshore"
 978 | 977,"promontory, headland, head, foreland"
 979 | 978,"sandbar, sand bar"
 980 | 979,"seashore, coast, seacoast, sea-coast"
 981 | 980,"valley, vale"
 982 | 981,volcano
 983 | 982,"ballplayer, baseball player"
 984 | 983,"groom, bridegroom"
 985 | 984,scuba diver
 986 | 985,rapeseed
 987 | 986,daisy
 988 | 987,"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum"
 989 | 988,corn
 990 | 989,acorn
 991 | 990,"hip, rose hip, rosehip"
 992 | 991,"buckeye, horse chestnut, conker"
 993 | 992,coral fungus
 994 | 993,agaric
 995 | 994,gyromitra
 996 | 995,"stinkhorn, carrion fungus"
 997 | 996,earthstar
 998 | 997,"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa"
 999 | 998,bolete
1000 | 999,"ear, spike, capitulum"
1001 | 1000,"toilet tissue, toilet paper, bathroom tissue"
1002 | 


--------------------------------------------------------------------------------
/images/images_all.csv:
--------------------------------------------------------------------------------
   1 | TrueLabel,CategoryName,ImageId
   2 | 306,dung beetle,0c7ac4a8c9dfa802
   3 | 884,vase,f43fbfe8a9ea876c
   4 | 244,bull mastiff,4fc263d35a3ad3ee
   5 | 560,folding chair,cc13c2bc5cdd1f44
   6 | 439,beaker,73a52afd2f818ed5
   7 | 991,"buckeye, horse chestnut, conker",58f0fd17c4a0e25a
   8 | 950,strawberry,90e11aa7c36c64f2
   9 | 854,"thatch, thatched roof",696f0f6bea562bf8
  10 | 610,"jeep, landrover",df58f94361c6d105
  11 | 610,"jeep, landrover",1394faa319bd353c
  12 | 583,"grocery store, grocery, food market, market",6cae4a23623d142b
  13 | 916,yurt,d02adcb9140880a1
  14 | 456,bottlecap,71080285ad6cb4e9
  15 | 620,"lampshade, lamp shade",137ab6ca314e9e35
  16 | 962,dough,c819099fed6f0d73
  17 | 542,"drum, membranophone, tympan",4b384c8247b56c0a
  18 | 631,Loafer,62ebd5f7ce015380
  19 | 742,"prayer rug, prayer mat",f24817d66024dfb6
  20 | 423,barbell,1b57d7bbd673c771
  21 | 456,bottlecap,a2de1f4f2c1021fa
  22 | 708,"pay-phone, pay-station",3e7b01ba495f15f9
  23 | 855,"theater curtain, theatre curtain",1a264165276e3c85
  24 | 923,menu,bc9a5e01c02e759e
  25 | 472,cannon,01bdc0cfe670f708
  26 | 130,spoonbill,6af829a442e2e0e7
  27 | 538,"dogsled, dog sled, dog sleigh",493694833dc23399
  28 | 673,mountain tent,6ac94c9244f84aa3
  29 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig",7529b42e71769777
  30 | 300,"meerkat, mierkat",d204464fcf15ad99
  31 | 100,goose,7fd7ce3eb2bf9944
  32 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig",303781188f1b3b27
  33 | 252,"dalmatian, coach dog, carriage dog",67967c9db11151e0
  34 | 521,"crib, cot",fa2a7d600b62174e
  35 | 924,plate,cd2d2889ef7ac51c
  36 | 23,"bald eagle, American eagle, Haliaeetus leucocephalus",11954d93a7051cb5
  37 | 664,monastery,03f90f7138f761e8
  38 | 761,"refrigerator, icebox",19935b1c0a4d305d
  39 | 583,"grocery store, grocery, food market, market",9cf861a657c27cec
  40 | 673,mountain tent,05817a675e7506d1
  41 | 693,packet,e1c702ed9842dd1c
  42 | 526,"dam, dike, dyke",e7cafac174e90143
  43 | 932,"bagel, beigel",1a680f33500acb4b
  44 | 318,leafhopper,81ddbe14219e9dcf
  45 | 465,buckle,04cb9de291399d15
  46 | 479,carton,23f9d18d531eb148
  47 | 668,mortarboard,63f2e14ab6be82cf
  48 | 962,dough,0dffbfa7ba43cb90
  49 | 866,toyshop,a97274c7e80a1764
  50 | 806,soccer ball,85e2eea48d912d31
  51 | 325,cabbage butterfly,ff5182599937c1ec
  52 | 34,"loggerhead, loggerhead turtle, Caretta caretta",4bb12984b41d0834
  53 | 923,menu,150249123e81930d
  54 | 143,dowitcher,f963957ccfa82f6b
  55 | 313,cricket,890fdaf4e1892e00
  56 | 303,"ground beetle, carabid beetle",9a1c67f467b9beea
  57 | 583,"grocery store, grocery, food market, market",217597258ac12258
  58 | 949,Granny Smith,346c5575b60194c3
  59 | 361,otter,296033c3a5910845
  60 | 790,shoji,3a7d9bd310202e93
  61 | 441,beer bottle,56e9d5f63cfc507e
  62 | 747,"puck, hockey puck",602f2c3749d6021e
  63 | 765,rifle,7c754696067fdfa9
  64 | 950,strawberry,8f5eda0b6a910b43
  65 | 481,"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",89119361e9d9e02d
  66 | 134,bittern,da63f2acf683c0a7
  67 | 793,shovel,741fc1a3fc08731d
  68 | 901,water tower,d77af00930283f4b
  69 | 734,pole,97151fe7a0a6e2e3
  70 | 328,"starfish, sea star",393d40f3a6a79400
  71 | 468,"butcher shop, meat market",8f5e0855ca8de8ea
  72 | 442,beer glass,d72f34526e12fd83
  73 | 883,"vacuum, vacuum cleaner",957529a2abaa0581
  74 | 921,"traffic light, traffic signal, stoplight",3bd1ba0432603b28
  75 | 840,suspension bridge,3228a465697fb2cf
  76 | 956,"jackfruit, jak, jack",871c99d5658c3189
  77 | 556,"fire engine, fire truck",1733cbc68a2ae05d
  78 | 520,crate,69a3493d13953e1f
  79 | 511,"container ship, containership, container vessel",8a82ddd7ab76efbb
  80 | 889,viaduct,e95ef0aeeab7b496
  81 | 991,"buckeye, horse chestnut, conker",8555611998ea426a
  82 | 431,basketball,1cc2caf8e5db27c3
  83 | 431,basketball,a00c8d22e63497c4
  84 | 397,lionfish,4f553b721705d008
  85 | 98,drake,f1ce339a44d7a118
  86 | 645,matchstick,2153d9869fb5a9ef
  87 | 79,tick,7506caf0a49c3951
  88 | 141,"red-backed sandpiper, dunlin, Erolia alpina",1d4133f5bc7af193
  89 | 363,badger,fd26c4733822dfcc
  90 | 706,"passenger car, coach, carriage",60f5900a00d94b25
  91 | 660,mixing bowl,79f953be91aa8ce2
  92 | 641,manhole cover,d9da4e5ef53d5e8b
  93 | 968,espresso,0411ca972e637297
  94 | 490,chainlink fence,92dbb18dd447fd75
  95 | 938,broccoli,65251969959ce0e6
  96 | 992,coral fungus,b76e552d4b3ec0c3
  97 | 888,vestment,828ade8df2d14c45
  98 | 604,"horse cart, horse-cart",3dc0e8f854bdc9b3
  99 | 468,"butcher shop, meat market",6bb6cf032c1286c5
 100 | 499,"cinema, movie theater, movie theatre, movie house, picture palace",2e9b377877f64b3d
 101 | 880,umbrella,2842a69bf5b14526
 102 | 808,"solar dish, solar collector, solar furnace",a74f197288b10a0d
 103 | 709,"pedestal, plinth, footstall",7a85f42383ec2f81
 104 | 968,espresso,55e85d7b58024966
 105 | 473,canoe,d6d192c5786f29f5
 106 | 288,"lynx, catamount",f533740a8d4618ce
 107 | 854,"thatch, thatched roof",5292f5b36a0789fa
 108 | 972,bubble,ba4b978112a20be1
 109 | 806,soccer ball,3692f6967c632fee
 110 | 720,"piggy bank, penny bank",fae551840c1690fa
 111 | 855,"theater curtain, theatre curtain",8020698d79dc39f2
 112 | 808,"solar dish, solar collector, solar furnace",d392f0639c17f396
 113 | 472,cannon,8f97e3fface13e4d
 114 | 947,cardoon,a920691cf2d50f79
 115 | 891,volleyball,a482985ca1e77960
 116 | 573,goblet,362e4ac62cf888f4
 117 | 884,vase,694e7617a4878041
 118 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig",fa5484e61e455eb2
 119 | 582,"grille, radiator grille",ab42aa5e9745c214
 120 | 604,"horse cart, horse-cart",e6e677a28e3bd6d7
 121 | 24,vulture,2e541180b2323a5d
 122 | 968,espresso,01f824264783f58d
 123 | 312,"grasshopper, hopper",335e604bbe3eec78
 124 | 874,triumphal arch,4e1bdcb677f21fb4
 125 | 583,"grocery store, grocery, food market, market",c6b5f6c1d79dffc6
 126 | 17,bulbul,8f9c1e4fd9f4cb2e
 127 | 673,mountain tent,f54616f2af588fd8
 128 | 781,schooner,f20911d36a287dce
 129 | 490,chainlink fence,81a7637c67f4f777
 130 | 686,"odometer, hodometer, mileometer, milometer",65c1808390bd18c5
 131 | 367,"gorilla, Gorilla gorilla",e570258f1bef4ade
 132 | 488,"cellular telephone, cellular phone, cellphone, cell, mobile phone",58bbaa0c5ab520d5
 133 | 747,"puck, hockey puck",556d8b457b94c285
 134 | 600,honeycomb,38546e7d7136c2ab
 135 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence",9876fe92d003c9d4
 136 | 951,orange,8df3dc0c3fef1824
 137 | 844,swing,938ada2f2bfa2b68
 138 | 615,kimono,61131df39f19a4a0
 139 | 349,"ram, tup",7278c2b63080f08c
 140 | 324,"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",f734e87286835196
 141 | 354,gazelle,06a0e36c443746b5
 142 | 22,kite,d7d8fc1442a82a8e
 143 | 85,peacock,f9937696f421f4e4
 144 | 438,"beacon, lighthouse, beacon light, pharos",9429f0d1ad2283df
 145 | 947,cardoon,7524a7ef9de8edc3
 146 | 747,"puck, hockey puck",c98a8640dcfaa5e0
 147 | 647,"maze, labyrinth",d34c51d7523e9c0f
 148 | 545,Dutch oven,24726d9054e9d78f
 149 | 470,"caldron, cauldron",66aa56675136bbab
 150 | 598,holster,a8fe76c687b00e33
 151 | 82,ptarmigan,411c5d79017077f4
 152 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",bb6fcb4a52b4fc0f
 153 | 720,"piggy bank, penny bank",84640859ee739095
 154 | 52,triceratops,6d2d82bc1ba0a956
 155 | 294,"cheetah, chetah, Acinonyx jubatus",3e1e47f5af2a3f16
 156 | 898,"washer, automatic washer, washing machine",1ac44ddb6a2d497a
 157 | 417,"balance beam, beam",7a291389e67a8a07
 158 | 545,Dutch oven,afa0f88aaab03427
 159 | 416,"bakery, bakeshop, bakehouse",1e26772fc8c493bb
 160 | 815,speedboat,4d1237ccbd9a5b4b
 161 | 296,"American black bear, black bear, Ursus americanus, Euarctos americanus",c3f452167c39302f
 162 | 830,"streetcar, tram, tramcar, trolley, trolley car",6841e385fe79177f
 163 | 760,reflex camera,b48febf2b989205b
 164 | 972,bubble,baeb1300832574aa
 165 | 307,rhinoceros beetle,7b6cc934fda859fa
 166 | 638,"mailbox, letter box",39f82c728c956125
 167 | 472,cannon,c8231978dc765004
 168 | 95,hummingbird,823f8eae0df2d5c1
 169 | 18,jay,038fd7a750733bb5
 170 | 985,rapeseed,6d6078c60e59e9f4
 171 | 709,"pedestal, plinth, footstall",1f71668ab3dbe81b
 172 | 864,totem pole,70b3b833463d20b9
 173 | 392,"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",dd4d033a9a45552d
 174 | 532,digital watch,8800cff23fade16a
 175 | 384,"Madagascar cat, ring-tailed lemur, Lemur catta",af2ac1705dc19a5f
 176 | 418,balloon,87937b805302f958
 177 | 443,"bell cote, bell cot",f33087679c5e7799
 178 | 39,banded gecko,6374e7e35ad90f50
 179 | 859,tile roof,92c73d668e2cd3ce
 180 | 717,"picket fence, paling",e8d5809ee6888f8f
 181 | 100,goose,45da32a1cf073a4f
 182 | 547,electric guitar,fe94909a2fad4ffe
 183 | 138,"American coot, marsh hen, mud hen, water hen, Fulica americana",00c3cd597f1ee96f
 184 | 981,volcano,a5949b0719d3ea77
 185 | 518,crane,d7984e6e1a51b3c4
 186 | 323,"ringlet, ringlet butterfly",979757e16b67ac7e
 187 | 766,"rocking chair, rocker",60ab0fb53634bc3c
 188 | 633,"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",ad333e5d6953cbbf
 189 | 638,"mailbox, letter box",2b7e6f0d6f73fa1f
 190 | 596,"harvester, reaper",4063377442ea93d3
 191 | 755,"radio, wireless",60ed157b21d49c4c
 192 | 806,soccer ball,8f07c92f0af97807
 193 | 874,triumphal arch,d67b326ef48bb7b7
 194 | 981,volcano,9f3afb58c061c290
 195 | 476,car mirror,1f7c25207bc3e303
 196 | 456,bottlecap,70d812d368e3e828
 197 | 443,"bell cote, bell cot",e19a59ad09d18497
 198 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",dde33b51c8c152d2
 199 | 880,umbrella,a33af1b9f8b8a81b
 200 | 410,analog clock,1c924877ccc60129
 201 | 702,"parachute, chute",74dbbe535861d709
 202 | 686,"odometer, hodometer, mileometer, milometer",858ec91996beb034
 203 | 706,"passenger car, coach, carriage",e5cf220f8144c192
 204 | 769,rugby ball,34a39905ce228160
 205 | 522,Crock Pot,9455bd672cb9e4bd
 206 | 641,manhole cover,9c509bfb75167fb0
 207 | 664,monastery,37e7dc99bf2704c7
 208 | 721,pill bottle,f2bfa7a95e787fe1
 209 | 760,reflex camera,0f9d8c86a9f38020
 210 | 536,"disk brake, disc brake",ce05236afebb173d
 211 | 583,"grocery store, grocery, food market, market",12fb008451be82d4
 212 | 608,jack-o'-lantern,1a7425e8f990e04a
 213 | 860,toaster,1ba816dc6937b62d
 214 | 533,"dining table, board",a92e49d8bbdc2aae
 215 | 114,snail,0e0f1fd2ed183781
 216 | 696,padlock,c83cfca4bc9dd3c7
 217 | 566,freight car,172f992e1a0ebbc3
 218 | 555,fireboat,565c67fd230f18cc
 219 | 352,hartebeest,b8596bba57a73794
 220 | 312,"grasshopper, hopper",d94940216544b2c5
 221 | 9,hen,9f55ac35ce9703e5
 222 | 386,"Indian elephant, Elephas maximus",55323ce1ff485412
 223 | 571,"gasmask, respirator, gas helmet",526f322d78bd5b44
 224 | 481,"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",229fbe790098d2e5
 225 | 734,pole,e0c0f412d78571dc
 226 | 325,cabbage butterfly,d12aad0d18252b40
 227 | 898,"washer, automatic washer, washing machine",22712d0324d43ef2
 228 | 739,"pot, flowerpot",3201d10ec4dca056
 229 | 402,"accordion, piano accordion, squeeze box",62c7958e7cd80cca
 230 | 815,speedboat,12cf4de43c70273e
 231 | 254,basenji,56dbd7d814ef5c58
 232 | 752,"racer, race car, racing car",e91abe0f1a7a30f4
 233 | 341,zebra,641d03527848417f
 234 | 305,"leaf beetle, chrysomelid",de282cea97167923
 235 | 983,"groom, bridegroom",088560551b91ceb0
 236 | 143,dowitcher,a70b1cda0776cba6
 237 | 281,"grey fox, gray fox, Urocyon cinereoargenteus",c036b20afde859b7
 238 | 547,electric guitar,5d6c4759c26bae8c
 239 | 100,goose,3eded0a8d5f16059
 240 | 324,"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",9db1070b1b9f03d2
 241 | 536,"disk brake, disc brake",e3c3f8889ac99aec
 242 | 666,moped,d6d42f8a1f6b4460
 243 | 430,baseball,517dc655edeaf344
 244 | 894,"wallet, billfold, notecase, pocketbook",10db986bad48a9d5
 245 | 966,burrito,17cfccd62451a233
 246 | 512,convertible,212476b1b58a0cfe
 247 | 145,pelican,919a6f1d23c6d05e
 248 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",da4f4d6944d93ae0
 249 | 514,"cornet, horn, trumpet, trump",1461ed9402248ddc
 250 | 664,monastery,f0dcd519b5499d48
 251 | 767,rotisserie,9a5913e0fb6d0866
 252 | 541,"drilling platform, offshore rig",cfab8f880da31ad8
 253 | 991,"buckeye, horse chestnut, conker",17df043d369008f5
 254 | 750,"quill, quill pen",95d6a4087f394d8b
 255 | 719,pier,0be391239ccba0f2
 256 | 842,sweatshirt,8d68931ba23fdeb7
 257 | 859,tile roof,6bff4ecb94f1f84e
 258 | 472,cannon,96fcb76927274db6
 259 | 2,"goldfish, Carassius auratus",4de063bd5b838f11
 260 | 880,umbrella,55b85f4336d9603a
 261 | 302,"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",f6437ed4f1b8fe23
 262 | 426,barn,a90d9627e2145090
 263 | 788,"shield, buckler",f4bde5facfdca0c6
 264 | 934,cheeseburger,803450d936b35ebb
 265 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence",fff35cdcce3cde43
 266 | 625,library,b58e8d136aff5a50
 267 | 312,"grasshopper, hopper",76d7e2d1bf3a31fe
 268 | 326,"sulphur butterfly, sulfur butterfly",a777db736ecdfb65
 269 | 990,"hip, rose hip, rosehip",f1a6fdadaa132225
 270 | 709,"pedestal, plinth, footstall",6bea02f26beef50d
 271 | 558,"flagpole, flagstaff",7b6a9bf5b175e3b2
 272 | 990,"hip, rose hip, rosehip",7c249a944594a62e
 273 | 718,"pickup, pickup truck",5c2d823a4d30e3d5
 274 | 390,"barracouta, snoek",fc94d8ed9eca8c51
 275 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle",73728c249317ccb9
 276 | 561,football helmet,0b1d45bd9ab1064e
 277 | 901,water tower,4b52fd42977215b9
 278 | 323,"ringlet, ringlet butterfly",c27e3bde18fba21b
 279 | 318,leafhopper,5dbfff56258cf9e6
 280 | 547,electric guitar,c47ca11294a9aefe
 281 | 859,tile roof,97917829607b6189
 282 | 854,"thatch, thatched roof",d386396825739960
 283 | 304,"long-horned beetle, longicorn, longicorn beetle",44fa09bc5f8e69a5
 284 | 434,"bathing cap, swimming cap",70db5a1689f89129
 285 | 668,mortarboard,89d60f53d478c4f7
 286 | 764,"revolver, six-gun, six-shooter",d531a31add433f46
 287 | 680,necklace,4d0c0f35a0c00bdc
 288 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle",33197fa6ae88508a
 289 | 58,"garter snake, grass snake",78059d1afd7b9fea
 290 | 145,pelican,542c07e8bf8e283c
 291 | 591,"hand-held computer, hand-held microcomputer",e8c99e0220ab46d2
 292 | 566,freight car,c755f3b0f89028fc
 293 | 964,"pizza, pizza pie",76db169867bf2e9d
 294 | 327,"lycaenid, lycaenid butterfly",784232355d49601b
 295 | 831,stretcher,e99ceff3e420ef95
 296 | 476,car mirror,23955512cd0e1191
 297 | 323,"ringlet, ringlet butterfly",d6eac6858474111c
 298 | 321,damselfly,8d90c523b27410a7
 299 | 630,"lipstick, lip rouge",5cf72b48fdf5e419
 300 | 974,coral reef,228fec6cab5f560d
 301 | 324,"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",e7b61bec5e4ca40e
 302 | 618,"lab coat, laboratory coat",d3551db0b83c8fc0
 303 | 830,"streetcar, tram, tramcar, trolley, trolley car",c7d0c73d636300f5
 304 | 472,cannon,61ed2594a0524631
 305 | 418,balloon,89f48bcf97aa6600
 306 | 499,"cinema, movie theater, movie theatre, movie house, picture palace",ed786d792c4309a4
 307 | 455,"bookshop, bookstore, bookstall",9fe19d5c6dab83a3
 308 | 886,velvet,d5d5f843f100328c
 309 | 345,"hippopotamus, hippo, river horse, Hippopotamus amphibius",789417c091011f53
 310 | 888,vestment,e648427e38e80ff8
 311 | 776,sarong,1478a0fc99a988db
 312 | 305,"leaf beetle, chrysomelid",e758de2cbb3d10a0
 313 | 696,padlock,8af30e5c3fa48a08
 314 | 960,carbonara,38287d2e5a4a9a57
 315 | 706,"passenger car, coach, carriage",c6e0d2ab3bbf4a3e
 316 | 33,"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",4cccb215bd60b3c3
 317 | 769,rugby ball,9a49001b63903f72
 318 | 473,canoe,1cbae41091a750dc
 319 | 629,"liner, ocean liner",de40907c1e2c5515
 320 | 922,"book jacket, dust cover, dust jacket, dust wrapper",446f75fdea0e1da0
 321 | 254,basenji,059da9a174262427
 322 | 688,"organ, pipe organ",35c344ca0584ba14
 323 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",c335ce88293384f2
 324 | 638,"mailbox, letter box",daa6404780b1af27
 325 | 144,"oystercatcher, oyster catcher",446b24f903b488fc
 326 | 752,"racer, race car, racing car",d7ffed8f21024a14
 327 | 761,"refrigerator, icebox",5efeca6c4c233f01
 328 | 717,"picket fence, paling",7d599306068f4594
 329 | 830,"streetcar, tram, tramcar, trolley, trolley car",67a52d9155241752
 330 | 647,"maze, labyrinth",dc12a25cc85ee9cf
 331 | 771,running shoe,0d6463e9a7ef6185
 332 | 40,"common iguana, iguana, Iguana iguana",af543b5f19ed1b1d
 333 | 345,"hippopotamus, hippo, river horse, Hippopotamus amphibius",a7151de51c2f1d0b
 334 | 458,"bow tie, bow-tie, bowtie",c5c9d17672ff88ce
 335 | 852,"television, television system",5bdb8268eadf57d8
 336 | 641,manhole cover,80177288cda51d95
 337 | 416,"bakery, bakeshop, bakehouse",5b60477a29c7ef81
 338 | 788,"shield, buckler",da7e65bc80814f37
 339 | 98,drake,4aeb33c9e565a201
 340 | 985,rapeseed,19d43f8204d3183d
 341 | 108,jellyfish,2b741c5c635a7295
 342 | 697,paintbrush,398720b8f19d5b84
 343 | 469,"cab, hack, taxi, taxicab",ab8329c28d8538c3
 344 | 386,"Indian elephant, Elephas maximus",348618ddbde3a39c
 345 | 790,shoji,d0029b3675b792ae
 346 | 893,wall clock,69854b68476d5068
 347 | 147,"albatross, mollymawk",4bdb561770b52424
 348 | 629,"liner, ocean liner",a92ab9e5fb9c5d64
 349 | 889,viaduct,8c6edf1ddfb61102
 350 | 347,"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",c135b139d293f7f2
 351 | 401,"academic gown, academic robe, judge's robe",7d2e9b03ec1b630b
 352 | 80,centipede,29fe8d653950a631
 353 | 95,hummingbird,d4c817db6be62b71
 354 | 440,"bearskin, busby, shako",1e77361718213a43
 355 | 718,"pickup, pickup truck",6711e27733cfd050
 356 | 742,"prayer rug, prayer mat",df874264566c58a9
 357 | 558,"flagpole, flagstaff",67c0339b1dfda5f6
 358 | 240,Bernese mountain dog,abd121ef53a69ef8
 359 | 480,car wheel,5021e7da00bf43b2
 360 | 868,"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",ebdfdcba5dc3b72a
 361 | 834,"submarine, pigboat, sub, U-boat",68274b8293271807
 362 | 480,car wheel,a84ead15406596ce
 363 | 964,"pizza, pizza pie",5d1df4748743d42e
 364 | 228,kelpie,16ff75228179469c
 365 | 442,beer glass,6e840c209f5733d5
 366 | 142,"redshank, Tringa totanus",16bbe588e0ecc6ab
 367 | 284,Persian cat,46b657df12fd7c26
 368 | 443,"bell cote, bell cot",bc7dff0960bb3335
 369 | 98,drake,128fca690a11f68c
 370 | 880,umbrella,ed9b2813b9245e52
 371 | 121,fiddler crab,a187afb98f295057
 372 | 948,mushroom,d2d2b255935f0aae
 373 | 108,jellyfish,4d008626b4b68665
 374 | 744,"prison, prison house",10bc8784a5eb8843
 375 | 635,"lumbermill, sawmill",77ac8bf95825dfcc
 376 | 818,"sports car, sport car",5c8bcfa0dbb246ab
 377 | 581,"greenhouse, nursery, glasshouse",afb0233b2e0545c4
 378 | 641,manhole cover,1bb5f1337dfb1edd
 379 | 400,abaya,a3c4dd88edacb575
 380 | 653,military uniform,64ed3f0e8a2dc320
 381 | 161,"Afghan hound, Afghan",d25df1a8259d3fdf
 382 | 518,crane,184a160b32ff4c72
 383 | 885,vault,4f722cab5573a5fb
 384 | 960,carbonara,1b546695167d3f6e
 385 | 558,"flagpole, flagstaff",6a940d1bf69f1d10
 386 | 950,strawberry,f4902a569fa12171
 387 | 918,comic book,54a6b2cd7f89220e
 388 | 934,cheeseburger,7b71925e989ee1d8
 389 | 781,schooner,eae13c52554a7783
 390 | 4,"tiger shark, Galeocerdo cuvieri",b1e69e9c3d740f4c
 391 | 831,stretcher,493e327b171ab0c3
 392 | 866,toyshop,2efe4916e679e875
 393 | 534,"dishrag, dishcloth",588bd41c9aa5a81b
 394 | 932,"bagel, beigel",49b1adfeb8ffcabd
 395 | 882,"upright, upright piano",225e06c2dfa68a62
 396 | 878,turnstile,d7d5b34ea0a0ffcf
 397 | 327,"lycaenid, lycaenid butterfly",0212aa8aa912ee45
 398 | 490,chainlink fence,d7de327bbf412965
 399 | 311,"ant, emmet, pismire",2200794c59b1808e
 400 | 537,"dock, dockage, docking facility",83896b9fb7e9c2f8
 401 | 305,"leaf beetle, chrysomelid",f9f36f7774d73820
 402 | 607,"iron, smoothing iron",796e23f8dbf9a7a2
 403 | 655,minibus,dad40e355e4e8e96
 404 | 108,jellyfish,064e1cc405062c85
 405 | 702,"parachute, chute",1484479b7630af0a
 406 | 815,speedboat,18d5f99fe237a306
 407 | 431,basketball,d0c6c29954f0380b
 408 | 487,"cello, violoncello",c777da68bec01dcd
 409 | 866,toyshop,5cd8864b6e35df82
 410 | 336,"fox squirrel, eastern fox squirrel, Sciurus niger",444109f3ccfacc7b
 411 | 777,"sax, saxophone",b722c809657aecee
 412 | 738,"pop bottle, soda bottle",a193f7ae7d550a82
 413 | 676,moving van,97025d82ec9860dc
 414 | 972,bubble,23f39187c0d00e30
 415 | 874,triumphal arch,515c6586db87bbd8
 416 | 851,"teddy, teddy bear",42e9b41ce96dbf0a
 417 | 471,"candle, taper, wax light",126175abfdcb1a21
 418 | 960,carbonara,4b0c9bf2584b35d3
 419 | 778,scabbard,19b5bea9a7608a92
 420 | 870,trench coat,1a94dc47fdd84a95
 421 | 963,"meat loaf, meatloaf",c35cd0d5673ec1db
 422 | 914,wreck,b239b5b3e1642f3b
 423 | 311,"ant, emmet, pismire",e22a1c8dab22f256
 424 | 629,"liner, ocean liner",d959fd91192d5717
 425 | 960,carbonara,692016122b9e07a6
 426 | 833,"stupa, tope",8749fd2540a0cb01
 427 | 666,moped,8e9e976fc98e3cfa
 428 | 815,speedboat,d7c8008bf74f2324
 429 | 534,"dishrag, dishcloth",330b9cb3cd80c88b
 430 | 51,"American alligator, Alligator mississipiensis",1ef172b89f4a39cf
 431 | 704,park bench,b02b553998809e17
 432 | 629,"liner, ocean liner",74b2e35cda75fe27
 433 | 977,"promontory, headland, head, foreland",f5a2cf5c66d313fa
 434 | 412,apron,5ceb9f2e8405b0de
 435 | 50,"African crocodile, Nile crocodile, Crocodylus niloticus",114c98c078c5aab0
 436 | 321,damselfly,d741b583a123562b
 437 | 498,"church, church building",324278ff7f22b4eb
 438 | 34,"loggerhead, loggerhead turtle, Caretta caretta",1f4227ce24232867
 439 | 625,library,5973419efd52f783
 440 | 982,"ballplayer, baseball player",fdedd06cdf58084e
 441 | 875,"trolleybus, trolley coach, trackless trolley",911aebf30626ce02
 442 | 473,canoe,55599050147071cc
 443 | 964,"pizza, pizza pie",eee6f4bcc8468f77
 444 | 408,ambulance,7f3c20f487834846
 445 | 304,"long-horned beetle, longicorn, longicorn beetle",8c8bc30a62a1ee23
 446 | 655,minibus,7e0fb7f80ffa514b
 447 | 905,window screen,c02ff39fe5832f4b
 448 | 325,cabbage butterfly,891fe6baf8896b77
 449 | 631,Loafer,e96d52f9fbe3ca0b
 450 | 458,"bow tie, bow-tie, bowtie",29279d12ed3e29ff
 451 | 693,packet,ac295a63ac9d2cd7
 452 | 518,crane,5d23b04cc45bc37b
 453 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig",11c53fe6feb856c6
 454 | 763,"restaurant, eating house, eating place, eatery",cbcb7444cc827812
 455 | 921,"traffic light, traffic signal, stoplight",fe1314dd6f75551d
 456 | 829,strainer,a8fca010774a1187
 457 | 23,"bald eagle, American eagle, Haliaeetus leucocephalus",5ec826683757ffae
 458 | 867,tractor,b9310b9080c06e4f
 459 | 58,"garter snake, grass snake",4f9f0b75f5b04524
 460 | 945,"artichoke, globe artichoke",4abadb721e74b99b
 461 | 641,manhole cover,a3c651cf20ee2d34
 462 | 348,bison,5c4eec952ca114a1
 463 | 558,"flagpole, flagstaff",7f045354f4577c16
 464 | 946,bell pepper,53211f8a1b131de6
 465 | 512,convertible,9c0e25e2f72438e8
 466 | 928,trifle,55512a6c2a45e2e8
 467 | 592,"handkerchief, hankie, hanky, hankey",869adfbad4e38261
 468 | 505,coffee mug,adcf48b42266309d
 469 | 822,steel arch bridge,3b67bec3793efcb4
 470 | 739,"pot, flowerpot",67a08d685abf7fb6
 471 | 310,bee,22a313cc9fc2b4f1
 472 | 324,"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",0d85e0103989c850
 473 | 676,moving van,c3cf76709c87255b
 474 | 875,"trolleybus, trolley coach, trackless trolley",74355a8c878b6814
 475 | 947,cardoon,6efed50f84ec5e01
 476 | 563,fountain,d6887e8d19a06139
 477 | 975,geyser,21fef4d9b3dce49a
 478 | 571,"gasmask, respirator, gas helmet",0d65cb9d26de4d37
 479 | 955,banana,3df888fc3b1df464
 480 | 387,"African elephant, Loxodonta africana",5ab3f1edd2f0cb06
 481 | 968,espresso,51b390bb124a6d9d
 482 | 10,"ostrich, Struthio camelus",5bf502c4a4b7d04d
 483 | 438,"beacon, lighthouse, beacon light, pharos",6ad1230d612d7eb7
 484 | 821,steam locomotive,76a5715019fe11c7
 485 | 991,"buckeye, horse chestnut, conker",207fd3b5def218d1
 486 | 968,espresso,ad43e858c614db4d
 487 | 752,"racer, race car, racing car",b3ba6f0352a29b2d
 488 | 653,military uniform,95185508805329aa
 489 | 982,"ballplayer, baseball player",73ee2cc19ef92e50
 490 | 145,pelican,be1c43056c5d0085
 491 | 321,damselfly,84a5f6ee2af29208
 492 | 321,damselfly,50b9e11ae686ae32
 493 | 918,comic book,fe2edb6cad72d2d2
 494 | 138,"American coot, marsh hen, mud hen, water hen, Fulica americana",58420b727fcab02b
 495 | 318,leafhopper,47b087263b33728b
 496 | 539,dome,0e0299d6352a3fb8
 497 | 763,"restaurant, eating house, eating place, eatery",2ee4c1b2b9bcc6c8
 498 | 874,triumphal arch,24312de5c34473c0
 499 | 348,bison,bb748281da5e8681
 500 | 982,"ballplayer, baseball player",b648e8dfcb4fbc99
 501 | 556,"fire engine, fire truck",d2cc2eabfc7bf54a
 502 | 777,"sax, saxophone",da4b3e38b069d735
 503 | 845,"switch, electric switch, electrical switch",b0bb1ea9bcc45800
 504 | 598,holster,ac668c13ccfd4b79
 505 | 473,canoe,b6c6a5b7829fbc9b
 506 | 10,"ostrich, Struthio camelus",014f0024918a7b6f
 507 | 617,knot,93114736f072d6d3
 508 | 975,geyser,c9ddfb1043177de8
 509 | 719,pier,7e4c41563370bed1
 510 | 806,soccer ball,328d99215b19c8c7
 511 | 650,"megalith, megalithic structure",2a1a60df9a58bb7c
 512 | 480,car wheel,263c7bcd59502625
 513 | 708,"pay-phone, pay-station",d05076189b7fd185
 514 | 744,"prison, prison house",fe193683db61ac2d
 515 | 655,minibus,d8b0101e2459882a
 516 | 909,wing,3841b33c9797cbf1
 517 | 115,slug,232c22314e21f764
 518 | 316,"mantis, mantid",30b62313af2b5d74
 519 | 657,minivan,2c54b60a2851b8ed
 520 | 348,bison,c96c3eab644075d3
 521 | 704,park bench,060dfe239abfd547
 522 | 566,freight car,0bd5123017590e39
 523 | 833,"stupa, tope",bd3617fcc985fe31
 524 | 920,street sign,54666421b4a6998f
 525 | 339,"guinea pig, Cavia cobaya",4e34df87968bd882
 526 | 653,military uniform,3f48b1e74589d310
 527 | 818,"sports car, sport car",96e77c20bf94ecb1
 528 | 719,pier,4edeacef9fb8ec90
 529 | 884,vase,c9302f3b2b0452e4
 530 | 484,castle,0af0a5dfee6b84ff
 531 | 975,geyser,02dbe78a73db2808
 532 | 604,"horse cart, horse-cart",592c7424f13b2d29
 533 | 567,"French horn, horn",f5b0ed0fbb3b5f74
 534 | 960,carbonara,1b1ffd7000d0749f
 535 | 580,"grand piano, grand",70a2529a6b2c0d46
 536 | 921,"traffic light, traffic signal, stoplight",bba5c56cc3eb07c9
 537 | 389,"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",000b7d55b6184b08
 538 | 760,reflex camera,8a02b6196885c394
 539 | 923,menu,582663fe666aac9c
 540 | 477,"carousel, carrousel, merry-go-round, roundabout, whirligig",f6515f31b750a573
 541 | 859,tile roof,acd99e9b7128395a
 542 | 581,"greenhouse, nursery, glasshouse",83d35591dfff99ac
 543 | 821,steam locomotive,3dfbdd066af9ca1e
 544 | 418,balloon,59204d6bb0c234eb
 545 | 438,"beacon, lighthouse, beacon light, pharos",d740663eeccdcecd
 546 | 826,stone wall,9226b783cfb770bd
 547 | 304,"long-horned beetle, longicorn, longicorn beetle",01dd15caa1b2c7b4
 548 | 518,crane,b97f4b95ae696316
 549 | 671,"motor scooter, scooter",c42c88890b5fc86d
 550 | 519,crash helmet,d158837db31ed892
 551 | 598,holster,4a1a40a116088962
 552 | 673,mountain tent,ba4508962af69d90
 553 | 546,"electric fan, blower",7069a117c92d27a4
 554 | 479,carton,79fa9855119ffeea
 555 | 818,"sports car, sport car",82e2334925339ef8
 556 | 976,"lakeside, lakeshore",4f5464b7d4682441
 557 | 885,vault,72f96c6dc5df2de8
 558 | 512,convertible,6609c25b3314b5b3
 559 | 230,"Old English sheepdog, bobtail",52d8515abbfaa8ac
 560 | 662,Model T,a7f9b28e30d19d85
 561 | 309,fly,8b7a5446dae48ac1
 562 | 620,"lampshade, lamp shade",b2a7e558f1a3ff16
 563 | 657,minivan,1a95932427129cda
 564 | 833,"stupa, tope",d4579363596fbf21
 565 | 669,mosque,f7dd570a0cfe1dcc
 566 | 511,"container ship, containership, container vessel",2d23b1dab7e3e9c0
 567 | 519,crash helmet,b7d9e1d8cf1d7912
 568 | 638,"mailbox, letter box",6b27728f0f816dc6
 569 | 706,"passenger car, coach, carriage",c96358fe7b8eaf28
 570 | 975,geyser,9b4cab2ffb0c0754
 571 | 979,"seashore, coast, seacoast, sea-coast",1685d066f8070081
 572 | 563,fountain,e071bf346787d971
 573 | 301,tiger beetle,e66d732354c6baf0
 574 | 924,plate,33adbc27fdcadd65
 575 | 564,fountain pen,eb53098ebcf05e64
 576 | 499,"cinema, movie theater, movie theatre, movie house, picture palace",8c609b06a60af060
 577 | 763,"restaurant, eating house, eating place, eatery",c66310d8b709d6d5
 578 | 572,"gas pump, gasoline pump, petrol pump, island dispenser",740981d161a38bad
 579 | 662,Model T,4c8a4414419ab0bb
 580 | 561,football helmet,ecaf98c8ce9f04c3
 581 | 734,pole,093402dc35f59027
 582 | 143,dowitcher,8bb7d10e97694eb5
 583 | 888,vestment,820ae900a943d605
 584 | 923,menu,8859efd46fab37ff
 585 | 981,volcano,dde9f0aadcb02874
 586 | 876,trombone,13810fcac72f12ba
 587 | 875,"trolleybus, trolley coach, trackless trolley",b1bf532ce2c4c3a1
 588 | 912,"wool, woolen, woollen",9aba31a4b2404aa5
 589 | 570,"garbage truck, dustcart",5b85f98e0105d135
 590 | 320,"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",53c478ffc8ddb967
 591 | 664,monastery,92c3f5e99d8ac862
 592 | 529,"dial telephone, dial phone",fae45093bad0961a
 593 | 816,"spider web, spider's web",0db0952967f6faa6
 594 | 403,acoustic guitar,9594ef7e0fc79ea8
 595 | 539,dome,634d7f18d098cccb
 596 | 854,"thatch, thatched roof",05cac1419419ce29
 597 | 718,"pickup, pickup truck",868af4a2e614f5ac
 598 | 888,vestment,6898f889c17f8e16
 599 | 822,steel arch bridge,8e3324c208eb9a3b
 600 | 965,potpie,7d7a8e41b8d0577e
 601 | 683,obelisk,5ff168f7d006f69c
 602 | 909,wing,f348adf7ea1967f7
 603 | 918,comic book,40f79488e3c2d6c4
 604 | 469,"cab, hack, taxi, taxicab",3e9496f7652e1968
 605 | 481,"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",2f7d5ff922af55c4
 606 | 766,"rocking chair, rocker",79a5625805a08253
 607 | 764,"revolver, six-gun, six-shooter",412311ea17528b7c
 608 | 327,"lycaenid, lycaenid butterfly",00312c7e7196baf4
 609 | 977,"promontory, headland, head, foreland",51d1c77f80467b59
 610 | 830,"streetcar, tram, tramcar, trolley, trolley car",82179b1d313e0e23
 611 | 484,castle,b0e0e06e647b478f
 612 | 113,conch,c609f86fa706bb9e
 613 | 911,wooden spoon,55a2e48a87c16998
 614 | 52,triceratops,7d833ac8ab852bd2
 615 | 963,"meat loaf, meatloaf",fe92a88132b5d67b
 616 | 984,scuba diver,6ab876a15af539c4
 617 | 821,steam locomotive,4fff343244f212cc
 618 | 620,"lampshade, lamp shade",22a9c318b6e36853
 619 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence",71d368782c72e313
 620 | 666,moped,65b8c8b065069802
 621 | 985,rapeseed,b0619a61cf135f5e
 622 | 320,"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",93394c1f9c4c0053
 623 | 310,bee,aa90f93ed6fae139
 624 | 469,"cab, hack, taxi, taxicab",aa07ba1587ec047e
 625 | 709,"pedestal, plinth, footstall",5d8085ae68e07d72
 626 | 475,cardigan,749ed3502293d019
 627 | 964,"pizza, pizza pie",791c3d333052ca64
 628 | 867,tractor,90e9a43bfb6a68b7
 629 | 875,"trolleybus, trolley coach, trackless trolley",72e6ba0cc7fb30a6
 630 | 898,"washer, automatic washer, washing machine",8c5b5bc0f39e2e06
 631 | 981,volcano,cc43200264a62126
 632 | 459,"brass, memorial tablet, plaque",be95f5be87f6fadd
 633 | 994,gyromitra,7b6e963025eaeb66
 634 | 305,"leaf beetle, chrysomelid",7f842d0c1e747334
 635 | 980,"valley, vale",ed3cb7f5154ae02d
 636 | 596,"harvester, reaper",6ecbd7d19f5b9147
 637 | 792,shopping cart,d016b3204e7ca96e
 638 | 971,alp,8400742ba78ac009
 639 | 459,"brass, memorial tablet, plaque",121c87c3c822e2c5
 640 | 975,geyser,76886996d4ab4614
 641 | 100,goose,9d5ef11ec55123e5
 642 | 582,"grille, radiator grille",1dfbeffd999f280e
 643 | 547,electric guitar,e3f5dbed7bd31314
 644 | 669,mosque,eb8ce5ba5c47e344
 645 | 918,comic book,f5dffe28fc19b6e7
 646 | 337,marmot,1ebff1b3c8de66de
 647 | 108,jellyfish,0546b47c13f154d3
 648 | 638,"mailbox, letter box",f52db15134c1a74e
 649 | 441,beer bottle,8094d4088a08cf09
 650 | 40,"common iguana, iguana, Iguana iguana",d9f624188d16fe93
 651 | 13,"house finch, linnet, Carpodacus mexicanus",631b6820e91a9e3e
 652 | 310,bee,611f453c4bb616b9
 653 | 988,corn,5792d4a42d2a82c8
 654 | 319,"lacewing, lacewing fly",c0e0c11350b8740e
 655 | 909,wing,c663670c06c06ea4
 656 | 309,fly,49591319edeb6b3a
 657 | 625,library,02eb799d147d5f91
 658 | 349,"ram, tup",f2d36d089779166a
 659 | 662,Model T,cc8d850717026796
 660 | 657,minivan,ab3fef142d031784
 661 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",c84cbc2c05227bee
 662 | 260,Pomeranian,9d55997552acf0de
 663 | 581,"greenhouse, nursery, glasshouse",8da3593258ae27cb
 664 | 650,"megalith, megalithic structure",fccab516c111d524
 665 | 347,"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",315e55af9615abd2
 666 | 348,bison,c135337ca7a575ae
 667 | 706,"passenger car, coach, carriage",3bfe9ff7b488485d
 668 | 539,dome,1e33aa336b89dcff
 669 | 676,moving van,39a483e9a23716ed
 670 | 971,alp,5191cfba868056a5
 671 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",4572c8986c28343b
 672 | 937,head cabbage,7700d0ba053dc4bd
 673 | 611,"jersey, T-shirt, tee shirt",eab9755117160864
 674 | 526,"dam, dike, dyke",8b47d72b39b2bd33
 675 | 735,"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",7d2a7bca22967f29
 676 | 657,minivan,8e89734ed940e222
 677 | 610,"jeep, landrover",30b922dbfdbffd11
 678 | 982,"ballplayer, baseball player",ef0e34b8ccb6d42f
 679 | 821,steam locomotive,506b87b78daa499c
 680 | 971,alp,62e0e0efc6deeef4
 681 | 308,weevil,28652355cd12a1e7
 682 | 763,"restaurant, eating house, eating place, eatery",0ed355357757528d
 683 | 566,freight car,abe9504895f6e8dd
 684 | 118,"chambered nautilus, pearly nautilus, nautilus",dd984311bff04342
 685 | 418,balloon,f7947af6545be760
 686 | 91,lorikeet,01244097ca8ffdfa
 687 | 862,toilet seat,3cf4bb0637d0f182
 688 | 499,"cinema, movie theater, movie theatre, movie house, picture palace",1d5361e858fe8462
 689 | 563,fountain,6a50fbe8723a6a4a
 690 | 577,gondola,001b5e6f1b89fd3b
 691 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",25eef91443ded954
 692 | 818,"sports car, sport car",ed3f9b6a081a4802
 693 | 826,stone wall,95fbd20d0aaf319a
 694 | 786,"seat belt, seatbelt",2bc6c55a0ab24f86
 695 | 826,stone wall,319e8b63d6a194aa
 696 | 771,running shoe,4fcc9c949d66a4e0
 697 | 556,"fire engine, fire truck",5c847b72d1e1713f
 698 | 947,cardoon,707bce947d54bcd8
 699 | 133,"American egret, great white heron, Egretta albus",43fa89c17e628c06
 700 | 309,fly,6612fd36e6dd9534
 701 | 51,"American alligator, Alligator mississipiensis",4146a745f9b2f3cb
 702 | 672,"mountain bike, all-terrain bike, off-roader",74bfc95412b2f824
 703 | 979,"seashore, coast, seacoast, sea-coast",5fc906f27c8975d2
 704 | 874,triumphal arch,2fc17ec1fad5d947
 705 | 635,"lumbermill, sawmill",cb63df64516985c1
 706 | 548,electric locomotive,7b8413ef241118df
 707 | 858,throne,2e854fca826e54b3
 708 | 650,"megalith, megalithic structure",f0add7f552d2d895
 709 | 662,Model T,9d4674c86096e4bd
 710 | 810,soup bowl,05437214d1ba9580
 711 | 449,birdhouse,dacb07f80166a7fd
 712 | 563,fountain,82b6f0bc71f5d0af
 713 | 753,"racket, racquet",0f36316247c03427
 714 | 498,"church, church building",efeabdd8a05e91f8
 715 | 595,harp,7453471febf1db6f
 716 | 132,"little blue heron, Egretta caerulea",e6f2de0c605f1ed3
 717 | 548,electric locomotive,648231d9393250fd
 718 | 581,"greenhouse, nursery, glasshouse",864fffaf7a83b3f4
 719 | 672,"mountain bike, all-terrain bike, off-roader",c179282bd977c6e0
 720 | 493,chest,40a7f086461190f3
 721 | 918,comic book,90e1aa56cae80a60
 722 | 14,"junco, snowbird",839aa3d166b020cf
 723 | 133,"American egret, great white heron, Egretta albus",38bdd950c1d08be6
 724 | 866,toyshop,2d95297e468bdf9b
 725 | 540,"doormat, welcome mat",ef5b1e5a76ae66dc
 726 | 689,"oscilloscope, scope, cathode-ray oscilloscope, CRO",7a11ae4c1f5e790c
 727 | 542,"drum, membranophone, tympan",477bf90e7413df23
 728 | 522,Crock Pot,7060ae82e5b96a77
 729 | 974,coral reef,42e55ac6782d4d99
 730 | 322,admiral,8868879c2acd5d9e
 731 | 750,"quill, quill pen",5b3a8c63e41802e7
 732 | 778,scabbard,659ca4ac6cc57e89
 733 | 647,"maze, labyrinth",9534108b0e8dceb1
 734 | 459,"brass, memorial tablet, plaque",fbc6b98b13c768e2
 735 | 708,"pay-phone, pay-station",7c3b0d93654b39cd
 736 | 979,"seashore, coast, seacoast, sea-coast",43694caa12d5f823
 737 | 310,bee,69788a29e7436808
 738 | 822,steel arch bridge,daa43d65c3b18a84
 739 | 739,"pot, flowerpot",a8c3363bbcc7015c
 740 | 548,electric locomotive,93a0857ff81c25ce
 741 | 702,"parachute, chute",b11fa0f292c0178f
 742 | 566,freight car,1dc0533f87996962
 743 | 699,palace,589319c64adf5fce
 744 | 71,"harvestman, daddy longlegs, Phalangium opilio",cebd45d7200f6111
 745 | 133,"American egret, great white heron, Egretta albus",7e73c7adc520e406
 746 | 105,"wallaby, brush kangaroo",6de6432b0f23ae75
 747 | 738,"pop bottle, soda bottle",ebb4dad78cfd67a9
 748 | 973,"cliff, drop, drop-off",e8c6f75ad26bae84
 749 | 769,rugby ball,1e408a8d1e2cdc74
 750 | 826,stone wall,11afa51200515f9a
 751 | 920,street sign,9f6fe669276f04cf
 752 | 133,"American egret, great white heron, Egretta albus",408bae58c26a8076
 753 | 934,cheeseburger,b5548ecffa20aac8
 754 | 498,"church, church building",9ee13ecd8d6727c0
 755 | 822,steel arch bridge,d1a723656dc08b5e
 756 | 297,"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",d1709eec353a6f93
 757 | 889,viaduct,b89dbfcc49dcf156
 758 | 965,potpie,7368fe0ff47343a0
 759 | 329,sea urchin,d23fd2119c4f5dec
 760 | 328,"starfish, sea star",5a0e21d54b9c4954
 761 | 866,toyshop,4b8517e927f32962
 762 | 980,"valley, vale",38deb4830d12358f
 763 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",81804435ad51df95
 764 | 709,"pedestal, plinth, footstall",e4941a341ace171a
 765 | 422,"bannister, banister, balustrade, balusters, handrail",558a7b66b78ba65b
 766 | 2,"goldfish, Carassius auratus",435137d9d4f4125e
 767 | 14,"junco, snowbird",c43077b2283479be
 768 | 428,"barrel, cask",77c72d0a01e1af70
 769 | 718,"pickup, pickup truck",72ac2a5af79e26d5
 770 | 327,"lycaenid, lycaenid butterfly",32c0e4647ce5a812
 771 | 657,minivan,54153d17b11b495c
 772 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle",fb1efda0b27d5289
 773 | 820,stage,7c5ea6f89e6e2733
 774 | 909,wing,721804d1d3a60206
 775 | 556,"fire engine, fire truck",dcb6b32cd80f2b1f
 776 | 490,chainlink fence,49c27b439d39a00c
 777 | 934,cheeseburger,2c065d2dc6b2cf44
 778 | 976,"lakeside, lakeshore",b3f200c672c5ca4f
 779 | 515,cowboy boot,3f40eba168e5d385
 780 | 878,turnstile,0e71473957df4793
 781 | 629,"liner, ocean liner",6c9f8901246faff2
 782 | 131,flamingo,a64ae1acd9d09a87
 783 | 973,"cliff, drop, drop-off",05f7c084329ff0c6
 784 | 904,wig,5d77597361d06d2b
 785 | 896,"warplane, military plane",ac2a8a4777dbe746
 786 | 151,sea lion,3d75d9676ad6361c
 787 | 820,stage,e3a740861f12f49e
 788 | 606,iPod,64577d3916d6dafb
 789 | 742,"prayer rug, prayer mat",3b32eca218ed3dbe
 790 | 606,iPod,0707f3dfb7c29f5c
 791 | 518,crane,59e9bdbb7a3fc4ba
 792 | 459,"brass, memorial tablet, plaque",686ea4ec999364ff
 793 | 320,"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",cb71a056a8e05bb2
 794 | 716,pickelhaube,f63d58b5af16091f
 795 | 431,basketball,d3aa8ee50458c020
 796 | 471,"candle, taper, wax light",2891f4aa2279d369
 797 | 752,"racer, race car, racing car",ae24c23192976a40
 798 | 916,yurt,348ac56def3ccd35
 799 | 896,"warplane, military plane",d46216d31908163e
 800 | 806,soccer ball,a8dd9ba15f7b817b
 801 | 604,"horse cart, horse-cart",5224fec9ba33b50d
 802 | 631,Loafer,b3c384a2d1a391c0
 803 | 920,street sign,4a1a488e8a975f7c
 804 | 404,"aircraft carrier, carrier, flattop, attack aircraft carrier",d7c1d1632cf0acc7
 805 | 556,"fire engine, fire truck",ca50e3535eb6396c
 806 | 912,"wool, woolen, woollen",30e132285c2e960f
 807 | 404,"aircraft carrier, carrier, flattop, attack aircraft carrier",ea65c0ff71e7ceb3
 808 | 442,beer glass,200285e90078210b
 809 | 898,"washer, automatic washer, washing machine",cec46dbd1fa3473a
 810 | 311,"ant, emmet, pismire",6314b953a2f66e36
 811 | 304,"long-horned beetle, longicorn, longicorn beetle",1f3f949ccbc81c93
 812 | 426,barn,04546cc5e537d7cd
 813 | 719,pier,73064ceb466612d5
 814 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence",ae78688b32986638
 815 | 471,"candle, taper, wax light",72d85232abd98067
 816 | 604,"horse cart, horse-cart",89d8361c6bfe905c
 817 | 996,earthstar,4ca02fd28a5e9703
 818 | 755,"radio, wireless",48762c2cd2ed47e1
 819 | 512,convertible,b217644382dcd864
 820 | 738,"pop bottle, soda bottle",c4824f023903731a
 821 | 885,vault,629138193e021cdf
 822 | 976,"lakeside, lakeshore",7d4186ce0332245d
 823 | 986,daisy,90dfd75887f3e67b
 824 | 782,scoreboard,ed56c7616a8ac010
 825 | 896,"warplane, military plane",5d6b9cadb6f9e1cd
 826 | 101,"black swan, Cygnus atratus",a033832d9ff8913b
 827 | 498,"church, church building",313ff0037b86260a
 828 | 990,"hip, rose hip, rosehip",afe045d68f1a60d0
 829 | 673,mountain tent,b19e2df06dbcccd9
 830 | 631,Loafer,510e5062fef4a993
 831 | 669,mosque,943274babd06a662
 832 | 822,steel arch bridge,0e83f990a04ed67d
 833 | 865,"tow truck, tow car, wrecker",607702d7ef44d081
 834 | 336,"fox squirrel, eastern fox squirrel, Sciurus niger",e9811aebe8bed6e5
 835 | 780,school bus,380053c506e32105
 836 | 3,"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",668bc83a884d24f9
 837 | 718,"pickup, pickup truck",be9a3bea2989a0b4
 838 | 407,altar,b74c05ecff5f99d8
 839 | 548,electric locomotive,7a51c260ca0e83e7
 840 | 459,"brass, memorial tablet, plaque",e89d48768917f563
 841 | 760,reflex camera,080bec22a6b1d37d
 842 | 752,"racer, race car, racing car",e37b556e8889d2ec
 843 | 818,"sports car, sport car",67dd47336dc89421
 844 | 854,"thatch, thatched roof",25f85aadcf248cc1
 845 | 469,"cab, hack, taxi, taxicab",c3e9a84e039df3ce
 846 | 982,"ballplayer, baseball player",0134ba03294509a1
 847 | 536,"disk brake, disc brake",53fe22426ff21243
 848 | 392,"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",4053a6a3d0e63c01
 849 | 332,hare,3ece3c1f94e4141a
 850 | 683,obelisk,7d253f78ef6f029a
 851 | 820,stage,fecd59b8de8ae6f7
 852 | 708,"pay-phone, pay-station",24159caf9c5e92be
 853 | 322,admiral,44982b98ba192bb7
 854 | 780,school bus,7ca714cdcd5d36d9
 855 | 561,football helmet,cbaff3255afbe83f
 856 | 672,"mountain bike, all-terrain bike, off-roader",fafbad0b3093a886
 857 | 356,llama,45315ea51da415ab
 858 | 820,stage,1e4bb9fd37654da6
 859 | 773,safety pin,5f3ea3c6b683fb57
 860 | 923,menu,ccbcaf10176e78e0
 861 | 407,altar,8d17aa69b4fd7b45
 862 | 404,"aircraft carrier, carrier, flattop, attack aircraft carrier",c25da85d5d62b000
 863 | 815,speedboat,beb3e55c385feb12
 864 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle",ed3573d0c197fbaf
 865 | 891,volleyball,95d1a6be6786190f
 866 | 875,"trolleybus, trolley coach, trackless trolley",c8abefc975e94b10
 867 | 95,hummingbird,be97d1e63c32043e
 868 | 519,crash helmet,df2cd1b82d5dec14
 869 | 580,"grand piano, grand",024f73e53c3c1f1d
 870 | 820,stage,e957c417fcd20c5b
 871 | 826,stone wall,795f5aef9bef8134
 872 | 114,snail,422d08407aeed1be
 873 | 476,car mirror,69a39406cb1d2ce5
 874 | 558,"flagpole, flagstaff",564de663adeb8cd5
 875 | 653,military uniform,04c1bde5affb7b5b
 876 | 704,park bench,90f5385a77a49f77
 877 | 939,cauliflower,604b54a3b7424d9b
 878 | 536,"disk brake, disc brake",a6535c039bfeba2c
 879 | 980,"valley, vale",35d67f3f70aeef92
 880 | 737,"pool table, billiard table, snooker table",3efa3df701898afd
 881 | 699,palace,f08f34c258228251
 882 | 986,daisy,d47c9aabecda0e12
 883 | 979,"seashore, coast, seacoast, sea-coast",d97c1f3f1c211d1a
 884 | 973,"cliff, drop, drop-off",62949c357e429690
 885 | 821,steam locomotive,9311a098cfb4b946
 886 | 422,"bannister, banister, balustrade, balusters, handrail",38d8d105d5e70c80
 887 | 405,airliner,a28beac14b9037da
 888 | 771,running shoe,fa3aae44c2675e88
 889 | 880,umbrella,44aa69f642b86628
 890 | 158,papillon,6cc289dc7a8fce86
 891 | 760,reflex camera,a92babc0a6436d3b
 892 | 763,"restaurant, eating house, eating place, eatery",9fbeb797de1e1639
 893 | 95,hummingbird,16179baa1513c701
 894 | 519,crash helmet,5a8d5bc9bf40e832
 895 | 896,"warplane, military plane",aa4e1cf9cb6e7801
 896 | 309,fly,200735f93ea764f2
 897 | 265,"Cardigan, Cardigan Welsh corgi",5d53f9bc389e98ad
 898 | 991,"buckeye, horse chestnut, conker",5b974695c09ad165
 899 | 986,daisy,becf3b004177ded6
 900 | 840,suspension bridge,4f04ca75d7aafc0a
 901 | 484,castle,8764eecf6e898c7f
 902 | 404,"aircraft carrier, carrier, flattop, attack aircraft carrier",c5f5e09f4f5fd41a
 903 | 859,tile roof,17f3b8a057bc01be
 904 | 888,vestment,c10f6e0689efbc1c
 905 | 367,"gorilla, Gorilla gorilla",0e9bdc3ab80b1a71
 906 | 669,mosque,c17d39b1eba4cc03
 907 | 120,"rock crab, Cancer irroratus",ec346009f286ffca
 908 | 451,"bobsled, bobsleigh, bob",01fa4be27dd11b5d
 909 | 405,airliner,490df9e021386d29
 910 | 484,castle,08fbf75e60a6efb7
 911 | 881,"unicycle, monocycle",fc583c08026e3d74
 912 | 407,altar,db6c6671a6924eba
 913 | 320,"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",5a6439b10c1f6761
 914 | 699,palace,218e02b6cfa0466e
 915 | 973,"cliff, drop, drop-off",3f8bf287f20333eb
 916 | 780,school bus,be5543dc68f0b970
 917 | 699,palace,87fcc5f70673d3d2
 918 | 934,cheeseburger,99f175132cd1c6e2
 919 | 976,"lakeside, lakeshore",a4f718e554dd18dd
 920 | 920,street sign,46a489dcff5471a4
 921 | 896,"warplane, military plane",38c6124f40b8d845
 922 | 981,volcano,6740e1e89b5bbab4
 923 | 884,vase,54ff02d9dfbf8540
 924 | 522,Crock Pot,2c9398f44d099e0f
 925 | 980,"valley, vale",6896a8b78f404dc8
 926 | 986,daisy,d2d6ae6e0b8a0c31
 927 | 977,"promontory, headland, head, foreland",fccfc3563cd562e1
 928 | 977,"promontory, headland, head, foreland",d3a88c50958b1b5f
 929 | 114,snail,513b3032ed1f388c
 930 | 699,palace,6217866896fbe2b7
 931 | 342,"hog, pig, grunter, squealer, Sus scrofa",21554e755b9706d2
 932 | 780,school bus,87a2147620d5e1cb
 933 | 490,chainlink fence,b86d604067f50613
 934 | 318,leafhopper,af3736cca01a2d28
 935 | 405,airliner,5adb3d985cf217a9
 936 | 473,canoe,60566d5680497389
 937 | 422,"bannister, banister, balustrade, balusters, handrail",1cfa5381359bff9f
 938 | 662,Model T,cd40b0e46c9da574
 939 | 609,"jean, blue jean, denim",e9ecdf28dc1d5a85
 940 | 341,zebra,821aae58dc96b4b2
 941 | 481,"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",715335d5ddfca1f2
 942 | 650,"megalith, megalithic structure",1be47d60e0156bbb
 943 | 76,"black widow, Latrodectus mactans",8724748782cb6c31
 944 | 971,alp,2ba52bcf59097dc8
 945 | 519,crash helmet,2ed718f6db9785f8
 946 | 800,sliding door,4a251fb6d80b5137
 947 | 885,vault,3617bfc5d06bc196
 948 | 422,"bannister, banister, balustrade, balusters, handrail",143c74a57326fd40
 949 | 669,mosque,d051e0bd46125123
 950 | 438,"beacon, lighthouse, beacon light, pharos",84af93c72781b7f0
 951 | 976,"lakeside, lakeshore",a52570066ecc61fd
 952 | 631,Loafer,3e8bf1eee7083f6e
 953 | 561,football helmet,f6d5c95ce7908a58
 954 | 979,"seashore, coast, seacoast, sea-coast",bfb2aaf48d7fc08c
 955 | 74,"barn spider, Araneus cavaticus",5528f7330399485f
 956 | 539,dome,635ea505879178ed
 957 | 480,car wheel,a8631b077e74f7aa
 958 | 672,"mountain bike, all-terrain bike, off-roader",bb03be3702584eeb
 959 | 980,"valley, vale",8090736c8299ab28
 960 | 775,sandal,74b13710bcf4f7f3
 961 | 285,"Siamese cat, Siamese",ecd3a969dd466349
 962 | 443,"bell cote, bell cot",2abcab3d77d4767e
 963 | 650,"megalith, megalithic structure",8c975de17f3247d1
 964 | 38,"box turtle, box tortoise",8d86fae18afef4e0
 965 | 885,vault,619a9d0eb2acdd82
 966 | 443,"bell cote, bell cot",9ab953cce5c7f879
 967 | 58,"garter snake, grass snake",1c2e9fe8b0b2fdf2
 968 | 830,"streetcar, tram, tramcar, trolley, trolley car",a414ccf5c51454e0
 969 | 913,"worm fence, snake fence, snake-rail fence, Virginia fence",26aa2e6ee43387e7
 970 | 704,park bench,3302a8c24caf20f4
 971 | 437,"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",dd722682a9f2b9dd
 972 | 929,"ice cream, icecream",6afe58efa85756dc
 973 | 484,castle,0ceee9a38409e30c
 974 | 405,airliner,1df5e1adad21d618
 975 | 548,electric locomotive,57e62606f02d0251
 976 | 498,"church, church building",d0fe8afb55c3c7cd
 977 | 931,French loaf,91d18b353d5b3be2
 978 | 920,street sign,21b0803c965f76ef
 979 | 386,"Indian elephant, Elephas maximus",f20783fc38473514
 980 | 512,convertible,3d6e530955c60759
 981 | 909,wing,7e5c847bafc4d50c
 982 | 561,football helmet,0aebe24fc257286e
 983 | 780,school bus,3c970c84b598f2d9
 984 | 986,daisy,c6166621198a3de4
 985 | 581,"greenhouse, nursery, glasshouse",134bfd93a04b88b2
 986 | 971,alp,4227a6e105cc0588
 987 | 848,"tank, army tank, armored combat vehicle, armoured combat vehicle",405dd60729a8c18d
 988 | 973,"cliff, drop, drop-off",0d29832e5da60f5f
 989 | 647,"maze, labyrinth",90ab38bb74020d5a
 990 | 964,"pizza, pizza pie",068c5d66662a837a
 991 | 672,"mountain bike, all-terrain bike, off-roader",e5f15610a22098bb
 992 | 719,pier,4cd90a6459ce9571
 993 | 407,altar,4a0bac33f8e81e60
 994 | 574,go-kart,cc283b8f7f46fbf0
 995 | 11,"brambling, Fringilla montifringilla",70b9b8ae11327472
 996 | 142,"redshank, Tringa totanus",5dd8e133e66ecd3a
 997 | 527,desk,4dc360d125c9238c
 998 | 704,park bench,8805b0b20d808c49
 999 | 469,"cab, hack, taxi, taxicab",15d27dbdc9eeda7f
1000 | 563,fountain,448a738f6dcba07e
1001 | 887,vending machine,e5948d6294eb8ca3
1002 | 


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