Sapiens Seg 0.6b

🚀 Seg-Sapiens-0.6B

Seg-Sapiens-0.6B is a vision transformer model for human image segmentation, offering high - resolution inference and strong generalization ability.

🚀 Quick Start

Seg-Sapiens-0.6B is designed for 28 class body part segmentation on human images. It's based on the Sapiens family of vision transformers, which are pretrained on 300 million human images at 1024 x 1024 resolution.

✨ Features

• The Sapiens family of models generalize well to in - the - wild conditions when finetuned for human - centric vision tasks.
• Sapiens-0.6B natively supports 1K high - resolution inference, and shows remarkable generalization even with scarce or synthetic labeled data.

📦 Installation

No installation steps are provided in the original document.

📚 Documentation

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-0.6B 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.

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

💻 Usage Examples

No code examples are provided in the original document.

🔧 Technical Details

No specific technical implementation details (more than 50 words) are provided in the original document.

📄 License

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