Yoloe V8l Seg

🚀 YOLOE: Real-Time Seeing Anything

YOLOE is a model for zero-shot object detection, enabling real-time detection of various objects.

🚀 Quick Start

This section provides a quick guide on how to get started with the YOLOE model, including installation steps and basic operations.

📦 Installation

To install the YOLOE model, you need to execute the following commands:

pip install git+https://github.com/THU-MIG/yoloe.git#subdirectory=third_party/CLIP
pip install git+https://github.com/THU-MIG/yoloe.git#subdirectory=third_party/ml-mobileclip
pip install git+https://github.com/THU-MIG/yoloe.git#subdirectory=third_party/lvis-api
pip install git+https://github.com/THU-MIG/yoloe.git

wget https://docs-assets.developer.apple.com/ml-research/datasets/mobileclip/mobileclip_blt.pt

📚 Documentation

Prediction

For prediction operations, please refer to Prediction Guide.

Transferring

For model transfer operations, please refer to Transferring Guide.

Validation

For model validation operations, please refer to Validation Guide.

Training

For model training operations, please refer to Training Guide.

Model Information

BibTeX Entry and Citation Info

@misc{wang2025yoloerealtimeseeing,
      title={YOLOE: Real-Time Seeing Anything}, 
      author={Ao Wang and Lihao Liu and Hui Chen and Zijia Lin and Jungong Han and Guiguang Ding},
      year={2025},
      eprint={2503.07465},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.07465}, 
}

📄 License

This project is licensed under the AGPL-3.0 license.