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