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.
conservation 开源项目推荐(639 个)
conservation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 639 个仓库The first-ever paper on the Unix shell written by Ken Thompson in 1976 scanned, transcribed, and redistributed with permission
MegaDetector是一款AI模型,帮助保护人员减少花在无聊相机陷阱图像上的时间。
多环境视频与图像分析
Tools for detecting wildlife in aerial images using active learning
Everything I know about machine learning and camera traps.
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
Wild Me 的首款产品 Wildbook 通过支持全球协作和自动身份验证照片匹配,支持研究人员
Systematic conservation prioritization in R
A live, hand-illustrated collage of the birds outside your window — named by ear. A standalone Belkins build of BirdNET-Pi (CC-BY-NC-SA-4.0).
trends.earth衡量土地变化
R package for spatial analysis and modelling of ecological systems
Model natural ecosystems 🌎🪸🐳
OneZoom Tree of Life Explorer
AI for Earth Species Classification API
A Julia package to analyze protein sequences, structures, and evolutionary information
SPARROW — Solar-Powered Acoustic and Remote Recording Observation Watch. An AI-enabled edge device for biodiversity monitoring with camera-trap imaging and bioacoustic recording. By Microsoft AI for Good Lab.
IUCN Red List API Client
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.
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/conservation。
- 该话题在 GitHub 上共有 639 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4103 Star,覆盖 9 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。