PyTorch Wildlife

PyTorch Wildlife serves as an AI platform specifically tailored for the AI for Conservation community, facilitating the creation, modification, and sharing of robust AI conservation models. It offers the capability to directly load a diverse range of models, including prominent ones like MegaDetector, DeepFaune, and HerdNet, from its extensive model zoo. These models are primarily utilized for both animal detection and classification tasks, providing essential tools for ecological monitoring and research.

Recent updates to the platform include the availability of inference code for cutting-edge models such as MIT YOLO and Apache RT-DETR, which can be easily integrated and used within the framework. The project is also actively seeking community contributions, inviting developers and conservationists to participate in its ongoing improvement and expansion. Detailed contribution guidelines are provided to assist new contributors in getting involved.

Looking ahead, PyTorch Wildlife plans to broaden its scope by incorporating models for additional applications, including the analysis of underwater images and bioacoustics. The core mission remains to deliver a unified and intuitive experience for anyone involved in leveraging artificial intelligence for conservation efforts, from researchers to practitioners.