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 is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

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

This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.

Deep learning computer vision for classifying wildlife in camera trap images

Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.

AI-Powered Camera-Trap Image Processing

An online toolset to manage and analyze data collected from insect camera traps for research and conservation efforts.

Save 99% of Your Time Classifying Camera-Trap Footage. Completely Free.

ecoSecrets is a web application which enables users to manage their camera traps data

Distance Estimation for Estimating Animal Abundance

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.

Bounding Box Editor and Exporter

Automated Camera Trapping Identification and Organization Network (ACTION)

📷🦔 CamTrapML Python Library for Detecting, Classifying, and Analysing Camera Trap Imagery.

Camtraptor is an R package to read, explore and visualize Camera Trap Data Packages (Camtrap DP)

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.

Data Migration Code and Scripts for Wildlife Insights Data Providers

My personal pipeline to species identification on camera trap pix using deep learning, detection/classification with MegaDetector and RetinaNet