| language: en | |
| license: cc-by-nc-4.0 | |
| # Sapiens-0.6b-torchscript | |
| ## Model Card for Sapiens | |
| 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. | |
| ## Model Details | |
| ### Model Description | |
| Sapiens-0.6b natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks. | |
| - **Developed by:** Meta | |
| - **Model type:** Vision Transformers | |
| - **License:** Creative Commons Attribution-NonCommercial 4.0 | |
| - **Model Size:** 0.6b | |
| - **Task:** pretrain | |
| - **Format:** torchscript | |
| - **File:** sapiens_0.6b_epoch_1600_torchscript.pt2 | |
| ### Model Sources | |
| - **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens) | |
| - **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569) | |
| ## Uses | |
| Pretrained 0.6b model can be used for feature extraction, fine-tuning, or as a starting point for training new models. | |