├── README.md ├── dataset ├── label-v1.json └── label-v2.npy └── ims ├── ims.jpg └── readme.md /README.md: -------------------------------------------------------------------------------- 1 | # Pixel-ImageNet 2 | ![dataset](https://github.com/shiyinzhang/Pixel-ImageNet/blob/master/ims/ims.jpg "dataset") 3 |
4 |
5 | The subset of the dataset is available. We will release the remaining part of the dataset later. Please stay tuned. 6 | 7 | We updated the subset of Pixel-ImageNet. The newly released version has 0.06M more images than before. 8 | ### Introduction 9 | The Pixel-ImageNet contains 1000 classes and 0.615M instance masks of ILSVRCLOC collected using [IOG](https://github.com/shiyinzhang/Inside-Outside-Guidance "IOG"). 10 | In the Pixel-ImageNet, each image contains only one class and the pixel value in the groundtruth is used to distinguish each instance. 11 | 12 | ### Download 13 | This is the subset of Pixel-ImageNet, which contains 0.485M images and spans 946 object classes. The detail of the object class and the number of images per class is shown in [label-v2.npy](https://github.com/shiyinzhang/Pixel-ImageNet/tree/master/dataset). 14 | The dataset is available on [Google Drive](https://drive.google.com/file/d/1AxTeOldc-g5vEWCOusI0T8_DsBi9ynG0/view?usp=sharing) and [Baidu Netdisk](https://pan.baidu.com/s/1r0MQrpWwqkS889u5TZaS2w) (pwd: i1u0). This subset is based on the training set of [ImageNet](http://www.image-net.org/download). 15 | The full Pixel-ImageNet dataset will be released later. Please stay tuned. 16 | 17 | 18 | 19 | ### Citations 20 | Please consider citing our dataset in your publications if it helps your research. The following is a BibTeX reference. 21 | 22 | @inproceedings{zhang2020interactive, 23 | title={Interactive Object Segmentation With Inside-Outside Guidance}, 24 | author={Zhang, Shiyin and Liew, Jun Hao and Wei, Yunchao and Wei, Shikui and Zhao, Yao}, 25 | booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, 26 | pages={12234--12244}, 27 | year={2020} 28 | } 29 | -------------------------------------------------------------------------------- /dataset/label-v1.json: -------------------------------------------------------------------------------- 1 | "{\"0\": [\"n01440764\", \"tench\", 454], \"1\": [\"n01443537\", \"goldfish\", 545], \"2\": [\"n01484850\", \"great_white_shark\", 384], \"3\": [\"n01491361\", \"tiger_shark\", 485], \"4\": [\"n01494475\", \"hammerhead\", 472], \"5\": [\"n01496331\", \"electric_ray\", 465], \"6\": [\"n01498041\", \"stingray\", 501], \"7\": [\"n01514668\", \"cock\", 584], \"8\": [\"n01514859\", \"hen\", 495], \"9\": [\"n01518878\", \"ostrich\", 512], \"10\": [\"n01530575\", \"brambling\", 430], \"11\": [\"n01531178\", \"goldfinch\", 563], \"12\": [\"n01532829\", \"house_finch\", 591], \"13\": [\"n01534433\", \"junco\", 531], \"14\": [\"n01537544\", \"indigo_bunting\", 488], \"15\": [\"n01558993\", \"robin\", 518], \"16\": [\"n01560419\", \"bulbul\", 519], \"17\": [\"n01580077\", \"jay\", 546], \"18\": [\"n01582220\", \"magpie\", 535], \"19\": [\"n01592084\", \"chickadee\", 564], \"20\": [\"n01601694\", \"water_ouzel\", 485], \"21\": [\"n01608432\", \"kite\", 441], \"22\": [\"n01614925\", \"bald_eagle\", 551], \"23\": [\"n01616318\", \"vulture\", 543], \"24\": [\"n01622779\", \"great_grey_owl\", 520], \"25\": [\"n01629819\", \"European_fire_salamander\", 386], \"26\": [\"n01630670\", \"common_newt\", 208], \"27\": [\"n01631663\", \"eft\", 441], \"28\": [\"n01632458\", \"spotted_salamander\", 714], \"29\": [\"n01632777\", \"axolotl\", 540], \"30\": [\"n01641577\", \"bullfrog\", 672], \"31\": [\"n01644373\", \"tree_frog\", 683], \"32\": [\"n01644900\", \"tailed_frog\", 583], \"33\": [\"n01664065\", \"loggerhead\", 510], \"34\": [\"n01665541\", \"leatherback_turtle\", 498], \"35\": [\"n01667114\", \"mud_turtle\", 502], \"36\": [\"n01667778\", \"terrapin\", 502], \"37\": [\"n01669191\", \"box_turtle\", 526], \"38\": [\"n01675722\", \"banded_gecko\", 466], \"39\": [\"n01677366\", \"common_iguana\", 532], \"40\": [\"n01682714\", \"American_chameleon\", 554], \"41\": [\"n01685808\", \"whiptail\", 442], \"42\": [\"n01687978\", \"agama\", 519], \"43\": [\"n01688243\", \"frilled_lizard\", 450], \"44\": [\"n01689811\", \"alligator_lizard\", 484], \"45\": [\"n01692333\", \"Gila_monster\", 460], \"46\": [\"n01693334\", \"green_lizard\", 603], \"47\": [\"n01694178\", \"African_chameleon\", 428], \"48\": [\"n01695060\", \"Komodo_dragon\", 542], \"49\": [\"n01697457\", \"African_crocodile\", 491], \"50\": [\"n01698640\", \"American_alligator\", 549], \"51\": [\"n01704323\", \"triceratops\", 485], \"52\": [\"n01728572\", \"thunder_snake\", 309], \"53\": [\"n01728920\", \"ringneck_snake\", 220], \"54\": [\"n01729322\", \"hognose_snake\", 375], \"60\": [\"n01740131\", \"night_snake\", 357], \"61\": [\"n01742172\", \"boa_constrictor\", 322], \"62\": [\"n01744401\", \"rock_python\", 428], \"63\": [\"n01748264\", \"Indian_cobra\", 500], \"64\": [\"n01749939\", \"green_mamba\", 472], \"65\": [\"n01751748\", \"sea_snake\", 497], \"66\": [\"n01753488\", \"horned_viper\", 480], \"67\": [\"n01755581\", \"diamondback\", 448], \"68\": [\"n01756291\", \"sidewinder\", 439], \"69\": [\"n01768244\", \"trilobite\", 599], \"71\": [\"n01770393\", \"scorpion\", 519], \"72\": [\"n01773157\", \"black_and_gold_garden_spider\", 527], \"73\": [\"n01773549\", \"barn_spider\", 476], \"74\": [\"n01773797\", \"garden_spider\", 541], \"75\": [\"n01774384\", \"black_widow\", 659], \"76\": [\"n01774750\", \"tarantula\", 556], \"77\": [\"n01775062\", \"wolf_spider\", 508], \"79\": 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[\"n02104029\", \"kuvasz\", 614], \"223\": [\"n02104365\", \"schipperke\", 349], \"224\": [\"n02105056\", \"groenendael\", 678], \"225\": [\"n02105162\", \"malinois\", 363], \"226\": [\"n02105251\", \"briard\", 294], \"227\": [\"n02105412\", \"kelpie\", 472], \"228\": [\"n02105505\", \"komondor\", 427], \"229\": [\"n02105641\", \"Old_English_sheepdog\", 413], \"230\": [\"n02105855\", \"Shetland_sheepdog\", 412], \"231\": [\"n02106030\", \"collie\", 484], \"232\": [\"n02106166\", \"Border_collie\", 1188], \"233\": [\"n02106382\", \"Bouvier_des_Flandres\", 612], \"234\": [\"n02106550\", \"Rottweiler\", 559], \"235\": [\"n02106662\", \"German_shepherd\", 901], \"236\": [\"n02107142\", \"Doberman\", 1162], \"237\": [\"n02107312\", \"miniature_pinscher\", 460], \"238\": [\"n02107574\", \"Greater_Swiss_Mountain_dog\", 682], \"239\": [\"n02107683\", \"Bernese_mountain_dog\", 458], \"240\": [\"n02107908\", \"Appenzeller\", 536], \"241\": [\"n02108000\", \"EntleBucher\", 338], \"242\": [\"n02108089\", \"boxer\", 1300], \"243\": [\"n02108422\", \"bull_mastiff\", 548], \"244\": [\"n02108551\", \"Tibetan_mastiff\", 859], \"245\": [\"n02108915\", \"French_bulldog\", 411], \"246\": [\"n02109047\", \"Great_Dane\", 914], \"247\": [\"n02109525\", \"Saint_Bernard\", 1037], \"248\": [\"n02109961\", \"Eskimo_dog\", 977], \"249\": [\"n02110063\", \"malamute\", 467], \"250\": [\"n02110185\", \"Siberian_husky\", 642], \"251\": [\"n02110341\", \"dalmatian\", 520], \"252\": [\"n02110627\", \"affenpinscher\", 250], \"253\": [\"n02110806\", \"basenji\", 1054], \"254\": [\"n02110958\", \"pug\", 412], \"255\": [\"n02111129\", \"Leonberg\", 487], \"256\": [\"n02111277\", \"Newfoundland\", 728], \"257\": [\"n02111500\", \"Great_Pyrenees\", 399], \"258\": [\"n02111889\", \"Samoyed\", 472], \"259\": [\"n02112018\", \"Pomeranian\", 739], \"260\": [\"n02112137\", \"chow\", 449], \"261\": [\"n02112350\", \"keeshond\", 358], \"262\": [\"n02112706\", \"Brabancon_griffon\", 486], \"263\": [\"n02113023\", \"Pembroke\", 500], \"264\": [\"n02113186\", \"Cardigan\", 518], \"265\": [\"n02113624\", \"toy_poodle\", 350], \"266\": [\"n02113712\", \"miniature_poodle\", 538], \"267\": [\"n02113799\", \"standard_poodle\", 1247], \"268\": [\"n02113978\", \"Mexican_hairless\", 353], \"269\": [\"n02114367\", \"timber_wolf\", 530], \"270\": [\"n02114548\", \"white_wolf\", 481], \"271\": [\"n02114712\", \"red_wolf\", 527], \"272\": [\"n02114855\", \"coyote\", 549], \"273\": [\"n02115641\", \"dingo\", 833], \"274\": [\"n02115913\", \"dhole\", 444], \"275\": [\"n02116738\", \"African_hunting_dog\", 703], \"276\": [\"n02117135\", \"hyena\", 525], \"277\": [\"n02119022\", \"red_fox\", 536], \"278\": [\"n02119789\", \"kit_fox\", 588], \"279\": [\"n02120079\", \"Arctic_fox\", 510], \"280\": [\"n02120505\", \"grey_fox\", 515], \"281\": [\"n02123045\", \"tabby\", 564], \"282\": [\"n02123159\", \"tiger_cat\", 473], \"283\": [\"n02123394\", \"Persian_cat\", 584], \"284\": [\"n02123597\", \"Siamese_cat\", 527], \"285\": [\"n02124075\", \"Egyptian_cat\", 591], \"286\": [\"n02125311\", \"cougar\", 566], \"287\": [\"n02127052\", \"lynx\", 510], \"288\": [\"n02128385\", \"leopard\", 529], \"289\": [\"n02128757\", \"snow_leopard\", 542], \"290\": [\"n02128925\", \"jaguar\", 524], \"291\": [\"n02129165\", \"lion\", 593], \"292\": [\"n02129604\", \"tiger\", 542], \"293\": [\"n02130308\", \"cheetah\", 545], \"294\": [\"n02132136\", \"brown_bear\", 817], \"295\": [\"n02133161\", \"American_black_bear\", 521], \"296\": [\"n02134084\", \"ice_bear\", 551], \"297\": [\"n02134418\", \"sloth_bear\", 508], \"298\": [\"n02137549\", \"mongoose\", 505], \"299\": [\"n02138441\", \"meerkat\", 552], \"300\": [\"n02165105\", \"tiger_beetle\", 515], \"301\": [\"n02165456\", \"ladybug\", 717], \"302\": [\"n02167151\", \"ground_beetle\", 531], \"329\": [\"n02321529\", \"sea_cucumber\", 632], \"330\": [\"n02325366\", \"wood_rabbit\", 491], \"331\": [\"n02326432\", \"hare\", 518], \"332\": [\"n02328150\", \"Angora\", 541], \"333\": [\"n02342885\", \"hamster\", 497], \"334\": [\"n02346627\", \"porcupine\", 556], \"335\": [\"n02356798\", \"fox_squirrel\", 526], \"336\": [\"n02361337\", \"marmot\", 487], \"337\": [\"n02363005\", \"beaver\", 552], \"338\": [\"n02364673\", \"guinea_pig\", 573], \"339\": [\"n02389026\", \"sorrel\", 439], \"340\": [\"n02391049\", \"zebra\", 503], \"341\": [\"n02395406\", \"hog\", 659], \"342\": [\"n02396427\", \"wild_boar\", 506], \"343\": [\"n02397096\", \"warthog\", 422], \"344\": [\"n02398521\", \"hippopotamus\", 441], \"345\": [\"n02403003\", \"ox\", 498], \"346\": [\"n02408429\", \"water_buffalo\", 453], \"347\": [\"n02410509\", \"bison\", 663], \"348\": [\"n02412080\", \"ram\", 508], \"349\": [\"n02415577\", \"bighorn\", 625], \"350\": [\"n02417914\", \"ibex\", 512], \"351\": [\"n02422106\", \"hartebeest\", 556], \"352\": [\"n02422699\", \"impala\", 451], \"353\": [\"n02423022\", \"gazelle\", 646], \"354\": [\"n02437312\", \"Arabian_camel\", 631], \"355\": [\"n02437616\", \"llama\", 463], \"356\": [\"n02441942\", \"weasel\", 520], \"357\": [\"n02442845\", \"mink\", 538], \"358\": [\"n02443114\", \"polecat\", 560], \"359\": [\"n02443484\", \"black-footed_ferret\", 660], \"360\": [\"n02444819\", \"otter\", 487], \"361\": [\"n02445715\", \"skunk\", 500], \"362\": [\"n02447366\", \"badger\", 545], \"363\": [\"n02454379\", \"armadillo\", 475], \"364\": [\"n02457408\", \"three-toed_sloth\", 529], \"365\": [\"n02480495\", \"orangutan\", 558], \"366\": [\"n02480855\", \"gorilla\", 545], \"367\": [\"n02481823\", \"chimpanzee\", 565], \"368\": [\"n02483362\", \"gibbon\", 525], \"369\": [\"n02483708\", \"siamang\", 505], \"370\": [\"n02484975\", \"guenon\", 548], \"371\": [\"n02486261\", \"patas\", 514], \"372\": [\"n02486410\", \"baboon\", 570], \"373\": [\"n02487347\", \"macaque\", 510], \"374\": [\"n02488291\", \"langur\", 585], \"375\": [\"n02488702\", \"colobus\", 564], \"376\": [\"n02489166\", \"proboscis_monkey\", 481], \"377\": [\"n02490219\", \"marmoset\", 565], \"378\": [\"n02492035\", \"capuchin\", 517], \"379\": [\"n02492660\", \"howler_monkey\", 540], \"380\": [\"n02493509\", \"titi\", 467], \"381\": [\"n02493793\", \"spider_monkey\", 499], \"382\": [\"n02494079\", \"squirrel_monkey\", 505], \"383\": [\"n02497673\", \"Madagascar_cat\", 568], \"384\": [\"n02500267\", \"indri\", 559], \"385\": [\"n02504013\", \"Indian_elephant\", 501], \"386\": [\"n02504458\", \"African_elephant\", 610], \"387\": [\"n02509815\", \"lesser_panda\", 602], \"388\": [\"n02510455\", \"giant_panda\", 501], \"389\": [\"n02514041\", \"barracouta\", 481], \"390\": [\"n02526121\", \"eel\", 500], \"391\": [\"n02536864\", \"coho\", 541], \"392\": [\"n02606052\", \"rock_beauty\", 424], \"393\": [\"n02607072\", \"anemone_fish\", 600], \"394\": [\"n02640242\", \"sturgeon\", 453], \"395\": [\"n02641379\", \"gar\", 448], \"396\": [\"n02643566\", \"lionfish\", 509], \"397\": [\"n02655020\", \"puffer\", 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225], \"883\": [\"n04522168\", \"vase\", 467], \"884\": [\"n04523525\", \"vault\", 297], \"885\": [\"n04525038\", \"velvet\", 376], \"886\": [\"n04525305\", \"vending_machine\", 342], \"887\": [\"n04532106\", \"vestment\", 253], \"890\": [\"n04540053\", \"volleyball\", 338], \"892\": [\"n04548280\", \"wall_clock\", 286], \"894\": [\"n04550184\", \"wardrobe\", 377], \"895\": [\"n04552348\", \"warplane\", 537], \"896\": [\"n04553703\", \"washbasin\", 244], \"897\": [\"n04554684\", \"washer\", 406], \"898\": [\"n04557648\", \"water_bottle\", 467], \"899\": [\"n04560804\", \"water_jug\", 608], \"902\": [\"n04579432\", \"whistle\", 279], \"903\": [\"n04584207\", \"wig\", 232], \"904\": [\"n04589890\", \"window_screen\", 439], \"905\": [\"n04590129\", \"window_shade\", 384], \"906\": [\"n04591157\", \"Windsor_tie\", 203], \"907\": [\"n04591713\", \"wine_bottle\", 216], \"909\": [\"n04596742\", \"wok\", 471], \"910\": [\"n04597913\", \"wooden_spoon\", 575], \"911\": [\"n04599235\", \"wool\", 436], \"915\": [\"n04613696\", \"yurt\", 382], \"916\": [\"n06359193\", \"web_site\", 284], \"918\": [\"n06785654\", \"crossword_puzzle\", 239], \"919\": [\"n06794110\", \"street_sign\", 487], \"920\": [\"n06874185\", \"traffic_light\", 460], \"921\": [\"n07248320\", \"book_jacket\", 305], \"922\": [\"n07565083\", \"menu\", 285], \"923\": [\"n07579787\", \"plate\", 371], \"924\": [\"n07583066\", \"guacamole\", 294], \"925\": [\"n07584110\", \"consomme\", 570], \"926\": [\"n07590611\", \"hot_pot\", 559], \"927\": [\"n07613480\", \"trifle\", 555], \"928\": [\"n07614500\", \"ice_cream\", 452], \"929\": [\"n07615774\", \"ice_lolly\", 619], \"930\": [\"n07684084\", \"French_loaf\", 476], \"931\": [\"n07693725\", \"bagel\", 544], \"932\": [\"n07695742\", \"pretzel\", 362], \"933\": [\"n07697313\", \"cheeseburger\", 220], \"936\": [\"n07714571\", \"head_cabbage\", 586], \"937\": [\"n07714990\", \"broccoli\", 428], \"938\": [\"n07715103\", \"cauliflower\", 605], \"939\": [\"n07716358\", \"zucchini\", 490], \"940\": [\"n07716906\", \"spaghetti_squash\", 235], \"941\": [\"n07717410\", \"acorn_squash\", 394], \"942\": [\"n07717556\", \"butternut_squash\", 421], \"943\": [\"n07718472\", \"cucumber\", 435], \"944\": [\"n07718747\", \"artichoke\", 494], \"945\": [\"n07720875\", \"bell_pepper\", 313], \"947\": [\"n07734744\", \"mushroom\", 328], \"948\": [\"n07742313\", \"Granny_Smith\", 485], \"949\": [\"n07745940\", \"strawberry\", 423], \"950\": [\"n07747607\", \"orange\", 561], \"951\": [\"n07749582\", \"lemon\", 516], \"952\": [\"n07753113\", \"fig\", 461], \"953\": [\"n07753275\", \"pineapple\", 314], \"954\": [\"n07753592\", \"banana\", 277], \"955\": [\"n07754684\", \"jackfruit\", 302], \"956\": [\"n07760859\", \"custard_apple\", 442], \"957\": [\"n07768694\", \"pomegranate\", 569], \"958\": [\"n07802026\", \"hay\", 344], \"959\": [\"n07831146\", \"carbonara\", 276], \"960\": [\"n07836838\", \"chocolate_sauce\", 622], \"961\": [\"n07860988\", \"dough\", 523], \"962\": [\"n07871810\", \"meat_loaf\", 571], \"966\": [\"n07892512\", \"red_wine\", 335], \"967\": [\"n07920052\", \"espresso\", 425], \"968\": [\"n07930864\", \"cup\", 390], \"971\": [\"n09229709\", \"bubble\", 347], \"999\": [\"n15075141\", \"toilet_tissue\", 250]}" -------------------------------------------------------------------------------- /dataset/label-v2.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shiyinzhang/Pixel-ImageNet/3c125486e3ad56666a14a8c7895e25ec6c43f235/dataset/label-v2.npy -------------------------------------------------------------------------------- /ims/ims.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/shiyinzhang/Pixel-ImageNet/3c125486e3ad56666a14a8c7895e25ec6c43f235/ims/ims.jpg -------------------------------------------------------------------------------- /ims/readme.md: 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