Biodiversity
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source
What is Biodiversity?
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
Overview of Biodiversity
What it is
Biodiversity is a repository by the Microsoft AI for Good Lab that serves as a hub for open-source AI models, edge devices, and tools designed for biodiversity monitoring and conservation. It brings together projects such as MegaDetector, SPARROW, PytorchWildlife, and bioacoustics tools under one umbrella.
Key features
- Hub for multiple biodiversity AI projects including MegaDetector, SPARROW, PytorchWildlife, and bioacoustics - Open-source AI models for camera-trap detection, bioacoustic analysis, species classification, and field deployment - Includes MegaDetector for detecting animals, people, and vehicles in camera-trap imagery - Includes SPARROW (Solar-Powered Acoustic and Remote Recording Observation Watch) edge device for remote field deployments - Includes PytorchWildlife collaborative deep learning framework and model zoo for conservation AI - Includes projects for overhead imagery detection, sonar-based wildlife detection, and acoustic classification - Community contributions are welcome
Use cases
- Camera-trap animal detection and image review - Bioacoustic monitoring and species identification from sound - Species classification fine-tuning for custom datasets and geographic regions - Overhead imagery wildlife localization from aerial views - Sonar-based wildlife detection in sidescan sonar imagery - Remote field deployments using solar-powered edge devices
Getting started
No installation commands are provided in the README. Refer to the repository documentation for setup and usage instructions.
License and pricing
MIT License. Open source (free).
Based on the project's public README and repository metadata.