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4493084 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 81,404 | |
3508455 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 63,320 | |
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2953639 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 53,182 | |
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2883414 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 51,848 | |
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4569063 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 82,793 | |
3126159 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 56,328 | |
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1756371 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 31,281 | |
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711583 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 12,268 | |
2140088 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 38,153 | |
3508554 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 63,322 | |
2790404 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 50,053 | |
4711660 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 85,284 | |
1467313 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 25,979 | |
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4255360 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 77,088 | |
353335 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 5,851 | |
1360744 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 24,186 | |
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5093972 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 91,917 | |
2169621 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 38,707 | |
4171339 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 75,563 | |
2212291 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 39,496 | |
4716809 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 85,368 | |
3780115 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 68,366 | |
3232252 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 58,237 | |
1883935 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 33,528 | |
115707 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 1,841 | |
5070383 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 91,522 | |
3045938 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 54,898 | |
1769803 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 31,526 | |
180185 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 2,967 | |
5065658 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 91,441 | |
4445188 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 80,517 | |
1006310 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 17,721 | |
1779552 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 31,704 | |
4450475 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 80,610 | |
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1914925 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 34,086 | |
4251105 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 77,015 | |
2209384 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 39,440 | |
1570193 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 27,816 | |
4702768 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 85,125 | |
3451456 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 62,225 | |
2490093 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 44,632 | |
4139009 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 75,001 | |
2786615 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 49,983 | |
317521 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 5,275 | |
5110390 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 92,192 | |
1942701 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 34,599 | |
4801644 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 86,857 | |
3146527 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 56,717 | |
2999375 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 54,034 | |
3899837 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 70,620 | |
3195395 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 57,590 | |
2085729 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 37,169 | |
4234899 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 76,711 | |
2457012 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 44,043 | |
2545884 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 45,677 | |
339467 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 5,625 | |
1135973 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 20,083 | |
4764528 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 86,222 | |
879645 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 15,459 | |
2740121 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 49,139 | |
249577 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 4,133 | |
5159976 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 93,046 | |
828830 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 14,492 | |
2375848 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 42,545 | |
4447590 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 80,556 | |
4644231 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 84,111 | |
1292011 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 22,939 | |
634292 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 10,883 | |
2586329 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 46,408 | |
1308540 | hf://datasets/gaunernst/ms1mv3-wds@cbe71fd17b8d1ed61e40508eba78aec6d4c8df46/ms1mv3-0000.tar | 23,230 |
End of preview. Expand
in Dataset Viewer.
MS-Celeb-1M (v3)
This dataset is introduced in the Lightweight Face Recognition Challenge at ICCV 2019. Paper.
There are 5,179,510 images and 93,431 ids. All images are aligned based on facial landmarks predicted by RetinaFace and resized to 112x112.
This was downloaded from https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_ (MS1M-RetinaFace). The original dataset format is MXNet RecordIO. It was converted to WebDataset in this copy here. There are 100 shards in total.
Usage
import webdataset as wds
url = "https://huggingface.co/datasets/gaunernst/ms1mv3-wds/resolve/main/ms1mv3-{{0000..0099}}.tar"
ds = wds.WebDataset(url).decode("pil").to_tuple("jpg", "cls")
img, label = next(iter(ds))
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