OH!SHOWN 野生動物出沒痕跡通報系統

Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)

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

Official codebase for MammAlps

AI-powered environmental monitoring system for marine and terrestrial ecosystems using computer vision, real-time analysis, and FAIR data principles.

[ICCV2019] Challenge - Computer Vision for Wildlife Conservation Solution

"Animal Behavior & Disease Detection: Utilize YOLO and MobileNetV2_img_classifier for real-time animal behavior tracking and disease identification. A valuable tool for wildlife researchers and conservationists. 🦁🔍🦠 #WildlifeAI #DeepLearning #Conservation"

MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery

This is repository containing a full pipeline (from annotation to training) for building an orangutans detector.

A wildlife monitoring system using EfficientNet-B3 and XAI (GradCAM) for species classification, detailed HTML/PDF reports, safety protocols, markdown insights, and CrewAI integration for advanced analysis.

CAMCALT (Complex Animal Movement Capture and Live Transmission) is a forest surveillance and monitoring system designed to capture complex animal movements and provide live video feed wirelessly from any part of the world. It aims to prevent hunting and poaching, enhancing forest security.

Sample implementation of the Anitra data API client.

Monitor endangered wildlife and assess potential threats using autonomous drones

🐆 Solution for the AnimalCLEF 2025 challenge. Focuses on individual animal re-identification and wildlife tracking using advanced Computer Vision and Deep Metric Learning techniques.

Python library for downloading Animal tracking data from Anitra and Movebank platforms.

Combating Human wildlife conflict using AI/ML

Detecting Dormice in Images Using Object Detection and Transfer Learning

This repository contains scripts and resources to develop a GUI that helps biologist identify individual Archey's frogs (Leiopelma archeyi).

Snow Leopard re identification

A community driven conservation platform that transforms everyday wildlife observation into environmental benefit and the promotion of native ecosystems.