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--- |
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task_categories: |
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- image-classification |
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size_categories: |
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- 10M<n<100M |
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--- |
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# Glint360K |
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This dataset is introduced in the Partial FC paper https://arxiv.org/abs/2010.05222. |
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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. |
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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 1,385 shards in total. |
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## Usage |
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```python |
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import webdataset as wds |
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url = "https://huggingface.co/datasets/gaunernst/glint360k-wds-gz/resolve/main/glint360k-{0000..1384}.tar.gz" |
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ds = wds.WebDataset(url).decode("pil").to_tuple("jpg", "cls") |
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img, label = next(iter(ds)) |
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``` |
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