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.

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.

MegaDetector — The Microsoft open-source AI for camera-trap conservation. Detects animals in camera-trap imagery and filters out blank images, reducing manual review across large datasets.Maintained by Microsoft AI for Good Lab.

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.

Detecting Dormice in Images Using Object Detection and Transfer Learning

End-to-end implementation of "WIDAR: Real-time Wildlife Intrusion Detection & Response System", released for reproducibility and reusability.

Animal Classifier for camera trap images. Uses EVA02 model to identify species, extract metadata, and export results to Excel.

Elephant Detection is a YOLOv11-based computer vision project for detecting elephants in images and video using a custom-trained model.

Successfully developed a wildlife detection model using Faster R-CNN to identify and localize animals in natural habitats, supporting conservation efforts and ecological research.

AI wildlife detection system : YOLO + YAMNet on Raspberry Pi with Flutter mobile app and Firebase