Pretrain-Sapiens-2B
Model Details
Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions. Sapiens-2B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.
- Developed by: Meta
- Model type: Vision Transformer
- License: Creative Commons Attribution-NonCommercial 4.0
- Task: pretrain
- Format: original
- File: sapiens_2b_epoch_660_clean.pth
Model Card
- Image Size: 1024 x 1024
- Num Parameters: 2.163 B
- FLOPs: 8.709 TFLOPs
- Patch Size: 16 x 16
- Embedding Dimensions: 1920
- Num Layers: 48
- Num Heads: 32
- Feedforward Channels: 7680
More Resources
- Repository: https://github.com/facebookresearch/sapiens
- Paper: https://arxiv.org/abs/2408.12569
- Demo: Sapiens Gradio Spaces
- Project Page: https://about.meta.com/realitylabs/codecavatars/sapiens
- Additional Results: https://rawalkhirodkar.github.io/sapiens
- HuggingFace Collection: https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc
Uses
Pretrained 2B model can be used for feature extraction, fine-tuning, or as a starting point for training new models.