#154 · Primary category: Computer Vision
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.
Project last updated:08/25/26
GitHub Stars
1.1K
Forks
296
Contributors
75
License
MIT
Why we included this project
Most people land here through MegaDetector, the animal detection model that conservation teams already run on camera-trap images, and the rest of the hub exists to support that kind of work. Microsoft's AI for Good Lab maintains it, bundling PyTorch-Wildlife for loading, fine-tuning, and sharing detection and classification models with minimal glue code, alongside separate projects for bioacoustics and edge deployment in remote field sites. That split matters: instead of one sprawling codebase, each tool lives in its own repository and this one acts as a map for matching a sensor setup to the right software. Whether you want a ready-to-run detector for existing trap photos or a framework to build and deploy your own model from scratch, it is a solid starting point.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
opencv
Open Source Computer Vision Library
RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
tesseract
Tesseract Open Source OCR Engine (main repository)