├── .gitignore ├── Assets ├── banner.png ├── fold_LR.png ├── fold_cf_matrix.png ├── fold_distribution.png ├── fold_metrics.png ├── fold_pred_distribution.png ├── inference_cf_matrix.png └── inference_pred_distribution.png ├── Best solution (Bronze medal - 163rd place) ├── 233 - EfficientNetB5-Reg-Img224 0,5data Fold1.ipynb ├── 234 - EfficientNetB5-Reg-Img224 0,5data Fold2.ipynb ├── 235 - EfficientNetB5-Reg-Img224 0,5data Fold3.ipynb ├── 236 - EfficientNetB5-Reg-Img224 0,5data Fold4.ipynb ├── 237 - EfficientNetB5-Reg-Img224 0,5data Fold5.ipynb ├── 258 - EffNetB5 -Reg- 5-Fold Img224 Old&New TTA 10.ipynb ├── README.md └── Train & Validation split - (Old+New).ipynb ├── Dataset split ├── Train & Validation split - (Hold-out and 5-Fold).ipynb ├── Train & Validation split - (Old data) Balanced.ipynb ├── Train & Validation split - (Old data).ipynb ├── Train & Validation split - (Old+New) Balanced.ipynb └── Train & Validation split - (Old+New).ipynb ├── Documentation └── Planning.md ├── LICENSE ├── Model backlog ├── DenseNet121 │ ├── 108 - DenseNet121 - Regression - Default size.ipynb │ └── 94 - DenseNet121 - Regression.ipynb ├── DenseNet169 │ ├── 109 - DenseNet169 - Regression - Default size.ipynb │ ├── 124 - DenseNet169 - Classification.ipynb │ ├── 125 - DenseNet169 - Classification - Default size.ipynb │ ├── 131 - DenseNet169 - Classification - Attention.ipynb │ ├── 133 - DenseNet169 - Classification - Refactor.ipynb │ ├── 134 - DenseNet169 - Regression - Refactor.ipynb │ └── 95 - DenseNet169 - Regression.ipynb ├── DenseNet201 │ ├── 110 - DenseNet201 - Regression - Default size.ipynb │ └── 96 - DenseNet201 - Regression.ipynb ├── EfficientNet │ ├── 240 - EfficientNetB543 -Reg- 5-Fold Ensemble.ipynb │ ├── 284 - EfficientNet -Reg- 5-Fold Top5 TTA 5.ipynb │ ├── EfficientNetB0 │ │ ├── 111 - EfficientNetB0 - Regression.ipynb │ │ ├── 117 - EfficientNetB0 - Regression - Default size.ipynb │ │ ├── 164 - EfficientNetB0 - Reg - Batch 128, Img 224.ipynb │ │ ├── 196 - EfficientNetB0-Reg-Old Data-Batch32 Img224.ipynb │ │ └── 198 - EfficientNetB0-Reg-Old&New-Batch32 Img224.ipynb │ ├── EfficientNetB1 │ │ ├── 112 - EfficientNetB1 - Regression.ipynb │ │ └── 118 - EfficientNetB1 - Regression - Default size.ipynb │ ├── EfficientNetB2 │ │ ├── 113 - EfficientNetB2 - Regression.ipynb │ │ └── 119 - EfficientNetB2 - Regression - Default size.ipynb │ ├── EfficientNetB3 │ │ ├── 114 - EfficientNetB3 - Regression.ipynb │ │ ├── 120 - EfficientNetB3 - Regression - Default size.ipynb │ │ ├── 172 - EfficientNetB3 - Reg - Batch 32, Img 224.ipynb │ │ ├── 195 - EfficientNetB3-Reg-Old Data-Batch32 Img224.ipynb │ │ ├── 199 - EfficientNetB3-Reg-Old&New-Batch32 Img224.ipynb │ │ ├── 204 - EfficientNetB3-Reg-Img224 0,5New data.ipynb │ │ ├── 207 - EfficientNetB3-Reg-Img224 0,5data No Ben.ipynb │ │ ├── 209 - EfficientNetB3-Reg-Img224 0,5data Orig top.ipynb │ │ ├── 211 - EffNetB3-Reg-Img224 0,5 Orig top No Ben.ipynb │ │ ├── 213 - EfficientNetB3-Reg-Img224 0,3data No Ben.ipynb │ │ ├── 215 - EfficientNetB3-Reg-Img224 0,5data No Ben 25e.ipynb │ │ └── 223 - EfficientNetB3-Reg-Img300 0,5data No ben.ipynb │ ├── EfficientNetB4 │ │ ├── 115 - EfficientNetB4 - Regression.ipynb │ │ ├── 121 - EfficientNetB4 - Regression - Default size.ipynb │ │ ├── 219 - EfficientNetB4-Reg-Img256 0,5data No ben.ipynb │ │ ├── 220 - EfficientNetB4-Reg-Img256 0,5data LR1e-1,5.ipynb │ │ ├── 222 - EfficientNetB4-Reg-Img380 0,5data No ben.ipynb │ │ ├── 278 - EfficientNetB4-Reg-Img224 Old data Balanced.ipynb │ │ └── 5-Fold │ │ │ ├── 272 - EfficientNetB4-Reg-Img256 Old&New Fold1.ipynb │ │ │ ├── 273 - EfficientNetB4-Reg-Img256 Old&New Fold2.ipynb │ │ │ ├── 274 - EfficientNetB4-Reg-Img256 Old&New Fold3.ipynb │ │ │ ├── 275 - EfficientNetB4-Reg-Img256 Old&New Fold4.ipynb │ │ │ ├── 276 - EfficientNetB4-Reg-Img256 Old&New Fold5.ipynb │ │ │ ├── 279 - EfficientNetB4-Reg-Img256 Old Pretrain Fold1.ipynb │ │ │ ├── 280 - EfficientNetB4-Reg-Img256 Old Pretrain Fold2.ipynb │ │ │ ├── 281 - EfficientNetB4-Reg-Img256 Old Pretrain Fold3.ipynb │ │ │ ├── 282 - EfficientNetB4-Reg-Img256 Old Pretrain Fold4.ipynb │ │ │ └── 283 - EfficientNetB4-Reg-Img256 Old Pretrain Fold5.ipynb │ └── EfficientNetB5 │ │ ├── 116 - EfficientNetB5 - Regression.ipynb │ │ ├── 122 - EfficientNetB5 - Regression - Default size.ipynb │ │ ├── 127 - EfficientNetB5 - Classification.ipynb │ │ ├── 128 - EfficientNetB5 - Classification - Default size.ipynb │ │ ├── 129 - EfficientNetB5 - Classification - Attention.ipynb │ │ ├── 130 - EfficientNetB5 - Regression - Attention.ipynb │ │ ├── 135 - EfficientNetB5 - Classification - Refactor.ipynb │ │ ├── 137 - EfficientNetB5 - Regression - Dft size - Ref.ipynb │ │ ├── 140 - EfficientNetB5 - Regression - TTAx10.ipynb │ │ ├── 141 - EfficientNetB5 - Regression - 2step finetune.ipynb │ │ ├── 142 - EfficientNetB5 - Regression - LR warmup.ipynb │ │ ├── 143 - EfficientNetB5 - Reg - Cosine LR decay.ipynb │ │ ├── 144 - EfficientNetB5 - Reg - Cosine LR decay Plt 3.ipynb │ │ ├── 145 - EfficientNetB5 - Reg - LR warmup, RMSprop.ipynb │ │ ├── 146 - EfficientNetB5 - Reg - Cosine LR, RMSprop.ipynb │ │ ├── 147 - EfficientNetB5 - Reg- Cosine LR Plt, RMSprop.ipynb │ │ ├── 148 - EfficientNetB5 - Reg- Zoom augmentation 125%.ipynb │ │ ├── 149 - EfficientNetB5 - Reg- Cyclical LR triangular.ipynb │ │ ├── 150 - EfficientNetB5 -Reg- Cyclical LR triangular2.ipynb │ │ ├── 151 - EfficientNetB5 -Reg- Cyclical LR exp_range.ipynb │ │ ├── 152 - EfficientNetB5 -Class-Cycl LR Lbl Smoothig01.ipynb │ │ ├── 153 - EfficientNetB5 -Reg- Cyc LR triangular2 Adam.ipynb │ │ ├── 154 - EfficientNetB5 -Reg- Cyc LR triangular2 Zoom.ipynb │ │ ├── 155 - EfficientNetB5 -Class- Cycl LR triangular2.ipynb │ │ ├── 156 - EfficientNetB5 -Class-Cycl LR Lbl Smoothig02.ipynb │ │ ├── 157 - EfficientNetB5 -Class-Cycl LR Lbl Smoothig03.ipynb │ │ ├── 158 - EfficientNetB5 - Classification - Focal loss.ipynb │ │ ├── 159 - EfficientNetB5 - Reg - Cosine LR, RMSprop2.ipynb │ │ ├── 160 - EfficientNetB5 - Reg - Zoom only on train.ipynb │ │ ├── 161 - EfficientNetB5 - Reg - Clean classifier.ipynb │ │ ├── 162 - EfficientNetB5 - Reg - Clean classifier2.ipynb │ │ ├── 163 - EfficientNetB5 - Reg - Batch 32, Img 224.ipynb │ │ ├── 165 - EfficientNetB5 - Reg - Adam Accumulate 4.ipynb │ │ ├── 166 - EfficientNetB5 - Reg - Adam Accumulate 8.ipynb │ │ ├── 167 - EfficientNetB5 - Reg - Big Classifier Concat.ipynb │ │ ├── 168 - EfficientNetB5 - Reg - Big Classifier Avg.ipynb │ │ ├── 169 - EfficientNetB5 - Reg - Big Classifier Max.ipynb │ │ ├── 170 - EfficientNetB5 - Reg - Cosine RAdam opt.ipynb │ │ ├── 171 - EfficientNetB5 - Reg - RAdam optimzer.ipynb │ │ ├── 173 - EfficientNetB5 - Reg - No Ben process.ipynb │ │ ├── 174 - EfficientNetB5 - Reg - Dropout.ipynb │ │ ├── 175 - EfficientNetB5 - Reg - No circle crop.ipynb │ │ ├── 176 - EfficientNetB5 - Reg - No Ben & Circle crop.ipynb │ │ ├── 177 - EfficientNetB5 - Reg - No crop.ipynb │ │ ├── 178 - EfficientNetB5 - Reg - RAdam optimizer.ipynb │ │ ├── 179 - EfficientNetB5 - Reg - Batch 32 Img 224 Plt2.ipynb │ │ ├── 180 - EfficientNetB5 - Reg - RAdam opt, Cosine.ipynb │ │ ├── 181 - EfficientNetB5 - Reg - RAdam opt.ipynb │ │ ├── 194 - EfficientNetB5-Reg-Old Data-Batch32 Img224.ipynb │ │ ├── 200 - EfficientNetB5-Reg-Old&New-Batch32 Img224.ipynb │ │ ├── 201 - EfficientNetB5-Reg-Old&New-Batch32 Img224 5e.ipynb │ │ ├── 202 - EfficientNetB5-Reg-Img224 0,5New data.ipynb │ │ ├── 203 - EfficientNetB5-Reg-Img224 0,3New data.ipynb │ │ ├── 205 - EfficientNetB5-Reg-Img224 0,5New data.ipynb │ │ ├── 206 - EfficientNetB5-Reg-Img224 0,5data No Ben.ipynb │ │ ├── 208 - EfficientNetB5-Reg-Img224 0,5data Orig top.ipynb │ │ ├── 210 - EffNetB5-Reg-Img224 0,5 Orig top No Ben.ipynb │ │ ├── 212 - EfficientNetB5-Reg-Img224 0,3data No Ben.ipynb │ │ ├── 214 - EfficientNetB5-Reg-Img224 0,5data No Ben 25e.ipynb │ │ ├── 216 - EfficientNetB5-Reg-Img456 0,5data No ben.ipynb │ │ ├── 217 - EfficientNetB5-Reg-Img224 0,5data Reg crop.ipynb │ │ ├── 218 - EfficientNetB5-Reg-Img256 0,5data No ben.ipynb │ │ ├── 221 - EfficientNetB5-Reg-Img328 0,5data No ben.ipynb │ │ ├── 224 - EfficientNetB5-Reg-Img224 Old data.ipynb │ │ ├── 225 - EfficientNetB5-Reg-Img224 0,5data TTA 10.ipynb │ │ ├── 226 - EfficientNetB5-Reg-Img224 0,5data No TTA.ipynb │ │ ├── 227 - EfficientNetB5-Class-Img224 0,5data No Ben.ipynb │ │ ├── 228 - EfficientNetB5-Class-Img224 0,5 Focal Loss.ipynb │ │ ├── 229 - EfficientNetB5-Reg-Img224 0,5 Longer ES.ipynb │ │ ├── 230 - EfficientNetB5-Reg-Img224 0,5 Aug Flip.ipynb │ │ ├── 231 - EfficientNetB5-Reg-Img224 0,5 Aug Zoom.ipynb │ │ ├── 232 - EfficientNetB5-Reg-Img224 0,5 RAdam.ipynb │ │ ├── 238 - EfficientNetB5-Reg-Img224 Old Pretrain NoBen.ipynb │ │ ├── 239 - EfficientNetB5-Reg-Img224 Old Pretrain.ipynb │ │ ├── 241 - EfficientNetB5-Reg-Img456 Old Pretrain.ipynb │ │ ├── 242 - EfficientNetB5-Reg-Img328 Old Pretrain.ipynb │ │ ├── 243 - EfficientNetB5-Reg-Img256 Old Pretrain.ipynb │ │ ├── 244 - EfficientNetB5-Reg-Img224 Old Pretrain 10ep.ipynb │ │ ├── 245 - EfficientNetB5-Reg-Img224 Old&New Pretrained.ipynb │ │ ├── 246 - EfficientNetB5-Reg-Img256 Old&New Pretrained.ipynb │ │ ├── 247 - EfficientNetB5-Reg-Img328 Old&New Pretrained.ipynb │ │ ├── 248 - EfficientNetB5-Reg-Img224 Old data Balanced.ipynb │ │ ├── 250 - EffNetB5-Reg-224 Old Pretrain Balanced NoBen.ipynb │ │ ├── 251 - EffNetB5-Reg-224 Old Pretrain Balanced.ipynb │ │ ├── 252 - EffNetB5-Reg-256 Old Pretrain Balanced NoBen.ipynb │ │ ├── 253 - EffNetB5-Reg-328 Old Pretrain Balanced NoBen.ipynb │ │ ├── 254-effnetb5-reg-224-0-3old-new-balanced-no-ben.ipynb │ │ ├── 255 - EffNetB5-Reg-Img224 Old Pretrain Sample STDV.ipynb │ │ ├── 256 - EffNetB5-Reg-Img224 Old Pretrain FeatureSTDV.ipynb │ │ ├── 264 - EffNetB5 -Reg- Img224 Old&New Resize ensemb.ipynb │ │ └── 5-Fold │ │ ├── 182 - EfficientNetB5 - Reg - Fold1 - Bs32, Img224.ipynb │ │ ├── 183 - EfficientNetB5 - Reg - Fold2 - Bs32, Img224.ipynb │ │ ├── 184 - EfficientNetB5 - Reg - Fold3 - Bs32, Img224.ipynb │ │ ├── 185 - EfficientNetB5 - Reg - Fold4 - Bs32, Img224.ipynb │ │ ├── 186 - EfficientNetB5 - Reg - Fold5 - Bs32, Img224.ipynb │ │ ├── 187 - EfficientNetB5 - Reg - 5-Fold Ensemble-Img224.ipynb │ │ ├── 188 - EfficientNetB5 - Reg - Fold1 - Img 456.ipynb │ │ ├── 189 - EfficientNetB5 - Reg - Fold2 - Img 456.ipynb │ │ ├── 190 - EfficientNetB5 - Reg - Fold3 - Img 456.ipynb │ │ ├── 191 - EfficientNetB5 - Reg - Fold4 - Img 456.ipynb │ │ ├── 192 - EfficientNetB5 - Reg - Fold5 - Img 456.ipynb │ │ ├── 193 - EfficientNetB5 -Reg- 5-Fold Ensemble-Img456.ipynb │ │ ├── 197 - EfficientNetB5 -Reg- 5-Fold-Img456 Inference.ipynb │ │ ├── 233 - EfficientNetB5-Reg-Img224 0,5data Fold1.ipynb │ │ ├── 234 - EfficientNetB5-Reg-Img224 0,5data Fold2.ipynb │ │ ├── 235 - EfficientNetB5-Reg-Img224 0,5data Fold3.ipynb │ │ ├── 236 - EfficientNetB5-Reg-Img224 0,5data Fold4.ipynb │ │ ├── 237 - EfficientNetB5-Reg-Img224 0,5data Fold5.ipynb │ │ ├── 249 - EfficientNetB5 -Reg- 5-Fold Img224 Old&New.ipynb │ │ ├── 257 - EffNetB5 -Reg- 5-Fold Img224 Old&New No Aug.ipynb │ │ ├── 258 - EffNetB5 -Reg- 5-Fold Img224 Old&New TTA 10.ipynb │ │ ├── 259 - EfficientNetB5-Reg-Img224 Balanced Fold1.ipynb │ │ ├── 260 - EfficientNetB5-Reg-Img224 Balanced Fold2.ipynb │ │ ├── 261 - EfficientNetB5-Reg-Img224 Balanced Fold3.ipynb │ │ ├── 262 - EfficientNetB5-Reg-Img224 Balanced Fold4.ipynb │ │ ├── 263 - EfficientNetB5-Reg-Img224 Balanced Fold5.ipynb │ │ ├── 265 - EfficientNetB5-Reg-Img328 Old Pretrain Fold1.ipynb │ │ ├── 266 - EfficientNetB5-Reg-Img328 Old Pretrain Fold2.ipynb │ │ ├── 267 - EfficientNetB5-Reg-Img328 Old Pretrain Fold3.ipynb │ │ ├── 268 - EfficientNetB5-Reg-Img328 Old Pretrain Fold4.ipynb │ │ ├── 269 - EfficientNetB5-Reg-Img328 Old Pretrain Fold5.ipynb │ │ ├── 270 - EffNetB5 -Reg- 5-Fold 328 OldPretrain TTA 5.ipynb │ │ ├── 271 - EffNetB5 -Reg- 5-Fold 224 Balanced TTA 5.ipynb │ │ ├── 277 - EffNetB5 -Reg- 5-Foldx2 Img224 TTA 5.ipynb │ │ └── 285 - EffNetB5 -Reg- 5-Fold 224 Balanced TTA 5.ipynb ├── InceptionResNetV2 │ ├── 101 - InceptionResNetV2 - Regression - Default size.ipynb │ └── 87 - InceptionResNetV2 - Regression.ipynb ├── InceptionV3 │ ├── 102 - InceptionV3 - Regression - Default size.ipynb │ └── 88 - InceptionV3 - Regression.ipynb ├── MobileNet 128 │ ├── 105 - MobileNet 128 - Regression - Default size.ipynb │ └── 89 - MobileNet 128 - Regression.ipynb ├── MobileNet 224 │ ├── 106 - MobileNet 224 - Regression - Default size.ipynb │ └── 90 - MobileNet 224 - Regression.ipynb ├── MobileNetV2 │ ├── 107 - MobileNetV2 - Regression - Default size.ipynb │ └── 93 - MobileNetV2 - Regression.ipynb ├── NASNetLarge │ ├── 104 - NASNetLarge - Regression - Default size.ipynb │ ├── 123 - NASNetLarge - Classification.ipynb │ ├── 126 - NASNetLarge - Classification - Default size.ipynb │ ├── 132 - NASNetLarge - Regression - Attentention.ipynb │ ├── 136 - NASNetLarge - Regression - Dft size - Refactor.ipynb │ ├── 138 - NASNetLarge - Regression - Refactor.ipynb │ ├── 139 - NASNetLarge - Regression - TTAx10.ipynb │ └── 92 - NASNetLarge - Regression.ipynb ├── NASNetMobile │ ├── 103 - NASNetMobile - Regression - Default size.ipynb │ └── 91 - NASNetMobile - Regression.ipynb ├── README.md ├── ResNet50 │ ├── 10 - ResNet50 - optimize Kappa.ipynb │ ├── 11 - ResNet50 - Vertical flip opt.ipynb │ ├── 12 - ResNet50 - Vertical flip norm.ipynb │ ├── 13 - ResNet50 - Threshold opt complete set.ipynb │ ├── 14 - ResNet50 - Threshold opt validation set.ipynb │ ├── 15 - ResNet50 - 224x224.ipynb │ ├── 16 - ResNet50 - Stratified split.ipynb │ ├── 17 - ResNet50 - Rotation range.ipynb │ ├── 18 - ResNet50 - Zoom range.ipynb │ ├── 19 - ResNet50 - Brightness range.ipynb │ ├── 20 - ResNet50 - ZCA whitening.ipynb │ ├── 21 - ResNet50 - Zoom range 0.2.ipynb │ ├── 22 - ResNet50 - Zoom range fill constant.ipynb │ ├── 23 - ResNet50 - Data augmentation fill constant.ipynb │ ├── 24 - ResNet50 - Data augmentation fill reflect.ipynb │ ├── 25 - ResNet50 - Img 224x224.ipynb │ ├── 26 - ResNet50 - Img 256x256.ipynb │ ├── 27 - ResNet50 - Img 224x224 batch 64.ipynb │ ├── 28 - ResNet50 - Train augmentation only.ipynb │ ├── 29 - ResNet50 - Train augment, Validation thr opt.ipynb │ ├── 3 - ResNet50 - Img 768x768.ipynb │ ├── 30 - ResNet50 - Train augment, 256x256.ipynb │ ├── 31 - ResNet50 - SGD optimizer, 2 steps.ipynb │ ├── 32 - ResNet50 - SGD optimizer, 1 step.ipynb │ ├── 33 - ResNet50 - Step decay.ipynb │ ├── 34 - ResNet50 - Cycle LR.ipynb │ ├── 35 - ResNet50 - Warmup 1 epoch.ipynb │ ├── 36 - ResNet50 - Warmup 3 epochs.ipynb │ ├── 37 - ResNet50 - Validation size 0.2.ipynb │ ├── 38 - ResNet50 - Validation size 0.15.ipynb │ ├── 39 - ResNet50 - 2 step fine-tuning.ipynb │ ├── 4 - ResNet50 - Batch size 22.ipynb │ ├── 40 - ResNet50 - Class distribution threshold opt.ipynb │ ├── 41 - ResNet50 - Focal loss.ipynb │ ├── 42 - ResNet50 - Cycle LR longer epochs.ipynb │ ├── 43 - ResNet50 - Cycle LR epochs 40.ipynb │ ├── 44 - ResNet50 - Cycle LR and Focal loss.ipynb │ ├── 45-resnet50-focal-loss-320x320.ipynb │ ├── 46 - ResNet50 - Focal loss - Simple augmentation.ipynb │ ├── 47 - ResNet50 - Focal loss - CV2 resize.ipynb │ ├── 48 - ResNet50 - Focal loss - Crop relevant areas.ipynb │ ├── 49 - ResNet50 - Focal loss - TTA.ipynb │ ├── 5 - ResNet50 - Img 779×779.ipynb │ ├── 50 - ResNet50 - Batch size 8.ipynb │ ├── 51 - ResNet50 - Threshold opt complete set.ipynb │ ├── 52 - ResNet50 - Gray scale.ipynb │ ├── 53 - ResNet50 - RGB scale.ipynb │ ├── 54 - ResNet50 - Gray circular cropping.ipynb │ ├── 55 - ResNet50 - RGB circular cropping.ipynb │ ├── 56 - ResNet50 - Gray Ben's Preprocessing.ipynb │ ├── 57 - ResNet50 - RGB Ben's Preprocessing.ipynb │ ├── 58 - ResNet50 - Gray Ben's process, circular crop.ipynb │ ├── 59 - ResNet50 - RGB Ben's process, circular crop.ipynb │ ├── 6 - ResNet50 - Img 450×450.ipynb │ ├── 60 - ResNet50 - Gray, circular crop sigma 30.ipynb │ ├── 61 - ResNet50 - RGB, circular crop sigma 30.ipynb │ ├── 62 - ResNet50 - Regression - Gray scale.ipynb │ ├── 63 - ResNet50 - Regression - RGB scale.ipynb │ ├── 64 - ResNet50 - Regression - Gray Zoom range.ipynb │ ├── 65 - ResNet50 - Regression - RGB Zoom range.ipynb │ ├── 66 - ResNet50 - Regression - Warmup 5 epochs.ipynb │ ├── 67 - ResNet50 - Regression - Lower earlystopping.ipynb │ ├── 68 - ResNet50 - Regression - Batch size 32.ipynb │ ├── 69 - ResNet50 - Regression - Image size 224.ipynb │ ├── 7 - ResNet50 - Threshold optimization.ipynb │ ├── 70 - ResNet50 - Regression - 1 generator.ipynb │ ├── 71 - ResNet50 - Regression - Finu-tune top.ipynb │ ├── 72 - ResNet50 - Regression - Finetune top 1st conv.ipynb │ ├── 73 - ResNet50 - Regression - Finetune top.ipynb │ ├── 74 - ResNet50 - Regression - Incresing batch size.ipynb │ ├── 75 - ResNet50 - Regression - Increasing img size.ipynb │ ├── 76 - ResNet50 - Regression - TTA 5.ipynb │ ├── 77 - ResNet50 - Regression - Imgaug generator.ipynb │ ├── 78 - ResNet50 - Regression - TTA 8.ipynb │ ├── 79 - ResNet50 - Regression - Albumentations.ipynb │ ├── 8 - ResNet50 - Class weights.ipynb │ ├── 80 - ResNet50 - Regression - Imgaug clean.ipynb │ ├── 81 - ResNet50 - Regression - Keras aug Crop v2.ipynb │ ├── 82 - ResNet50 - Regression - Imgaug Crop v2.ipynb │ ├── 83 - ResNet50 - Regression - Albumentation Crop v2.ipynb │ ├── 9 - ResNet50 - Kappa metric.ipynb │ └── 97 - ResNet50 - Regression - Default size.ipynb ├── VGG16 │ ├── 84 - VGG16 - Regression.ipynb │ └── 98 - VGG16 - Regression - Default size.ipynb ├── VGG19 │ ├── 85 - VGG19 - Regression.ipynb │ └── 99 - VGG19 - Regression - Default size.ipynb └── Xception │ ├── 100 - Xception - Regression - Default size.ipynb │ └── 86 - Xception - Regression.ipynb └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__/ 2 | .idea/* 3 | *.csv 4 | data/ 5 | -------------------------------------------------------------------------------- /Assets/banner.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/banner.png -------------------------------------------------------------------------------- /Assets/fold_LR.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/fold_LR.png -------------------------------------------------------------------------------- /Assets/fold_cf_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/fold_cf_matrix.png -------------------------------------------------------------------------------- /Assets/fold_distribution.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/fold_distribution.png -------------------------------------------------------------------------------- /Assets/fold_metrics.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/fold_metrics.png -------------------------------------------------------------------------------- /Assets/fold_pred_distribution.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/fold_pred_distribution.png -------------------------------------------------------------------------------- /Assets/inference_cf_matrix.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/inference_cf_matrix.png -------------------------------------------------------------------------------- /Assets/inference_pred_distribution.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dimitreOliveira/APTOS2019BlindnessDetection/HEAD/Assets/inference_pred_distribution.png -------------------------------------------------------------------------------- /Best solution (Bronze medal - 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