Laion-Face

LAION-Face is the human face subset of LAION-400M, it consists of 50 million image-text pairs. Face detection is conducted to find images with faces. Apart from the 50 million full-set(LAION-Face 50M), there is a 20 million sub-set(LAION-Face 20M) for fast evaluation.

LAION-Face is first used as the training set of FaRL, which provides powerful pre-training transformer backbones for face analysis tasks.

For more details, please check the offical repo at https://github.com/FacePerceiver/LAION-Face .

Download and convert metadata

wget -l1 -r --no-parent https://the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/
mv the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/ .
wget https://huggingface.co/datasets/FacePerceiver/laion-face/resolve/main/laion_face_ids.pth
wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/convert_parquet.py
python convert_parquet.py ./laion_face_ids.pth ./laion400m-meta ./laion_face_meta

Download the images with img2dataset

When metadata is ready, you can start download the images.

wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/download.sh
bash download.sh ./laion_face_meta ./laion_face_data

Please be patient, this command might run over days, and cost about 2T disk space, and it will download 50 million image-text pairs as 32 parts.

To use the LAION-Face 50M, you should use all the 32 parts.
To use the LAION-Face 20M, you should use these parts.
```
0,2,5,8,13,15,17,18,21,22,24,25,28
```

checkout download.sh and img2dataset for more details and parameter setting.