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14167612 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 271,379 | |
12322935 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 226,453 | |
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14542653 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 281,638 | |
1212882 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 18,492 | |
13790286 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 261,953 | |
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16462929 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 338,199 | |
15212167 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 300,368 | |
15263235 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 301,689 | |
11628709 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 210,099 | |
11824102 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 214,740 | |
14998489 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 294,417 | |
12816162 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 238,065 | |
10189442 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 178,481 | |
191230 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 2,725 | |
3736180 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 58,719 | |
2696937 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 42,140 | |
7611895 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 126,940 | |
12417878 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 228,766 | |
6981138 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 115,603 | |
5863067 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 95,967 | |
2944702 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 45,958 | |
13767622 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 261,420 | |
1996668 | hf://datasets/gaunernst/glint360k-wds@9fc681577fa0dc59ff492361076ee37282dc8cd4/glint360k-0000.tar | 30,681 |
End of preview. Expand
in Dataset Viewer.
MS-Celeb-1M (v3)
This dataset is introduced in the Partial FC paper https://arxiv.org/abs/2010.05222.
There are 17,091,657 images and 360,232 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_. The original dataset format is MXNet RecordIO. It was converted to WebDataset in this copy here. There are 500 shards in total.
Usage
import webdataset as wds
url = "https://huggingface.co/datasets/gaunernst/glint360k-wds/resolve/main/glint360k-{0000..0499}.tar"
ds = wds.WebDataset(url).decode("pil").to_tuple("jpg", "cls")
img, label = next(iter(ds))
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