Dataset Viewer (First 5GB)
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brightness/1/2815 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2610 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5818 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1583 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/155 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5172 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1311 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3040 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1191 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1575 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5221 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5318 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4772 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1719 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2150 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/588 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4525 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2437 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5063 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4248 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1720 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1799 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5951 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/6038 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1054 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1894 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1165 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3438 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5771 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1510 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1876 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4263 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1895 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3275 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1101 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3648 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5032 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3997 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2473 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1676 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3167 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/400 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/951 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4067 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/376 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3924 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4372 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3666 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4658 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/871 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5252 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5841 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4985 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/407 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/710 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/691 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2598 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/223 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/656 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2569 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4805 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5578 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3721 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/480 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2547 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5845 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4184 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/6137 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5711 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2913 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3603 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1208 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2623 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3337 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2854 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5281 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2874 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4485 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3625 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/3300 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5088 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2929 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1768 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4577 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1540 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5942 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/908 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5083 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5598 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2728 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/703 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2532 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4491 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/540 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/2491 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5130 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/198 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/1262 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/4312 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
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brightness/1/5664 | hf://datasets/torch-uncertainty/Flowers102-C@38c66427a1e1e6920a0736e4bafd9ab6b91f50d2/brightness.tar.gz |
End of preview. Expand
in Data Studio
The corrupted version of the Flowers102 fined-grained classification dataset.
How to use this dataset
For all the corruptions, extract the tar.gz files with the following command:
for f in *.tar.gz; do tar -xzf "$f" && rm "$f"; done
License
The license of the original dataset is unclear.
Citation
If you use this dataset please consider citing:
The authors of the original dataset,
@inproceedings{nilsback2008automated,
title={Automated flower classification over a large number of classes},
author={Nilsback, Maria-Elena and Zisserman, Andrew},
booktitle={ICVGIP},
year={2008},
}
the authors of the original transformations,
@inproceedings{hendrycks2019benchmarking,
title={Benchmarking neural network robustness to common corruptions and perturbations},
author={Hendrycks, Dan and Dietterich, Thomas},
booktitle={ICLR},
year={2019}
}
and TorchUncertainty.
Version
This dataset was generated with Torch Uncertainty 0.4.3.
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