Sapiens Seg 1b

🚀 Seg-Sapiens-1B

Seg-Sapiens-1B is a vision transformer model for human image segmentation, offering high - resolution inference and excellent generalization ability.

🚀 Quick Start

This model is designed for human - centric image segmentation tasks. It can perform 28 - class body part segmentation on human images.

✨ Features

• Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. When finetuned for human - centric vision tasks, the models can generalize well to in - the - wild conditions.
• Sapiens - 1B natively supports 1K high - resolution inference. The resulting models show remarkable generalization to in - the - wild data, even when labeled data is scarce or entirely synthetic.

📚 Documentation

Model Details

• Developed by: Meta
• Model type: Vision Transformer
• License: Creative Commons Attribution - NonCommercial 4.0
• Task: seg
• Format: original
• File: sapiens_1b_goliath_best_goliath_mIoU_7994_epoch_151.pth

Model Card

More Resources

• Repository: https://github.com/facebookresearch/sapiens
• Paper: https://arxiv.org/abs/2408.12569
• Demo: https://huggingface.co/spaces/facebook/sapiens-seg
• 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

📄 License

This model is licensed under the Creative Commons Attribution - NonCommercial 4.0 license.