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.

MegaDetector V6 — Microsoft AI for Good Lab's open-source model that detects animals, people, and vehicles in camera-trap images, filtering blanks to speed wildlife research.

PyTorch-Wildlife — The Microsoft collaborative deep learning framework for conservation. Multi-task computer vision and bioacoustic models for camera-trap detection, species classification, and biodiversity monitoring. Maintained by Microsoft AI for Good Lab.

AI system that analyzes underwater imagery to track marine life, monitor coral reef health, and detect illegal fishing activities using deep learning.

MegaDetector-Classifier — The Microsoft open-source AI for camera-trap species classification. Fine-tuning and inference for wildlife identification, running downstream of MegaDetector animal detection. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.

🌊 Monitor marine ecosystems with AI for tracking marine life, assessing coral health, and detecting illegal fishing using underwater imagery analysis.

A national-scale geospatial ML platform that scores every road segment in Australia for wildlife-vehicle collision risk — and recommends exactly where to place warning signs.