# microsoft/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.

Repository: https://github.com/microsoft/Biodiversity
Canonical: https://ross.abutalabs.com/products/biodiversity
Homepage: https://microsoft.github.io/Biodiversity/
Language: Python
License: MIT
License Family: permissive
Topics: camera-traps, conservation, machine-learning, computer-vision, megadetector, ai-for-good, bioacoustics, biodiversity, conservation-ai, deep-learning, ecology, edge-ai, sparrow, wildlife-monitoring, animal-detection, object-detection, wildlife-detection
Last push: 2026-08-25T00:55:54+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 68, longevity 100
- inputs: {"age_days": 2883, "days_push": 9, "days_rel": 133, "gap_med": 83, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1066, forks 296 (observed 2026-08-28T04:03:27.126519+00:00)

## What it is
Microsoft AI for Good Lab's biodiversity research hub providing open-source AI models and tools for wildlife monitoring and conservation, including MegaDetector for camera-trap animal detection, PyTorch-Wildlife as a unified model platform, and bioacoustic analysis tools. The repository serves as a central index linking to dedicated project repositories for detection, classification, and edge deployment.

## Use cases
- detect animals in camera trap images
- classify wildlife species from photos
- identify species from audio recordings
- run wildlife detection models on edge devices in the field
- build custom conservation AI models with a model zoo
- detect animals from aerial drone imagery
- batch process camera trap datasets for ecology research

## When to choose
- you need proven, widely-adopted camera-trap animal detection like MegaDetector
- you want a unified PyTorch platform to load multiple conservation models (MegaDetector, DeepFaune, HerdNet)
- you need bioacoustic species identification or aerial wildlife detection
- you are an ecologist or conservationist processing wildlife monitoring data

## When to avoid
- you need general-purpose object detection unrelated to wildlife or conservation
- you need a polished end-user application rather than Python libraries and models
- you require real-time video streaming analytics rather than image/audio batch analysis

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, computer-vision, audio-processing, image-processing, deep-learning
- domain: computer-vision, machine-learning, deep-learning, artificial-intelligence
- platform: python, cross-platform
- tags: biodiversity, conservation, camera-traps, bioacoustics, wildlife-monitoring, megadetector, pytorch-wildlife, animal-detection, species-classification, edge-ai, ai-for-good, ecology, gpu

## Member repositories
- microsoft/Biodiversity (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:27.126519+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:55:24.851944+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/Biodiversity (fetched 2026-08-28T04:03:27.126519+00:00, sha 272745f7441e)
  - homepage: https://microsoft.github.io/Biodiversity/ (fetched 2026-08-29T12:57:28.791105+00:00, sha 4854750ad647)
- Data as of 2026-08-30T08:39:29.467469+00:00.