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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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pretty_name: LAION-Face |
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size_categories: |
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- 10M<n<100M |
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tags: |
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- image-text |
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- faces |
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- face detection |
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- vision-language |
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- large-scale |
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- web-scraped |
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- facial representation learning |
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- pretraining |
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- huggingscience |
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- science |
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task_categories: |
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- image-text-to-text |
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- image-feature-extraction |
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modality: |
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- image |
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- text |
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dataset_creator: FacePerceiver |
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source: LAION-400M |
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--- |
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# Laion-Face |
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[LAION-Face](https://github.com/FacePerceiver/LAION-Face) is the human face subset of [LAION-400M](https://laion.ai/laion-400-open-dataset/), 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. |
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LAION-Face is first used as the training set of [FaRL](https://github.com/FacePerceiver/FaRL), which provides powerful pre-training transformer backbones for face analysis tasks. |
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For more details, please check the offical repo at https://github.com/FacePerceiver/LAION-Face . |
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## Download and convert metadata |
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```bash |
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wget -l1 -r --no-parent https://the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/ |
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mv the-eye.eu/public/AI/cah/laion400m-met-release/laion400m-meta/ . |
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wget https://huggingface.co/datasets/FacePerceiver/laion-face/resolve/main/laion_face_ids.pth |
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wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/convert_parquet.py |
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python convert_parquet.py ./laion_face_ids.pth ./laion400m-meta ./laion_face_meta |
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``` |
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## Download the images with img2dataset |
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When metadata is ready, you can start download the images. |
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```bash |
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wget https://raw.githubusercontent.com/FacePerceiver/LAION-Face/master/download.sh |
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bash download.sh ./laion_face_meta ./laion_face_data |
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``` |
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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. |
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- To use the **LAION-Face 50M**, you should use all the 32 parts. |
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- To use the **LAION-Face 20M**, you should use these parts. |
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``` |
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0,2,5,8,13,15,17,18,21,22,24,25,28 |
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``` |
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checkout `download.sh` and [img2dataset](https://github.com/rom1504/img2dataset) for more details and parameter setting. |
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### Citation |
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Please cite: |
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``` |
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@inproceedings{zheng2022general, |
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title={General facial representation learning in a visual-linguistic manner}, |
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author={Zheng, Yinglin and Yang, Hao and Zhang, Ting and Bao, Jianmin and Chen, Dongdong and Huang, Yangyu and Yuan, Lu and Chen, Dong and Zeng, Ming and Wen, Fang}, |
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
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pages={18697--18709}, |
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year={2022} |
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} |
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``` |
