A frontend web app for viewing & labeling camera trap data by The Nature Conservancy.

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

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

🐾🌳 Wildlife conservation is essential for preserving endangered species and their habitats, ensuring a stable environment for future wildlife generations.

[ICCV2019] Challenge - Computer Vision for Wildlife Conservation Solution

An Open-source Tool to Guide Decisions for Wildlife Conservation

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

Surface water mapping using Sentinel-1 and Google Earth Engine

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.

Frontend of OH!SHOWN 野生動物出沒痕跡通報系統 ohshown.site . Built with Vue.js. For backend please checkout https://github.com/OH-SHOWN/ohshown-backend

Wildlife Health database documentation

Monitor endangered wildlife and assess potential threats using autonomous drones

Documenting amphibian trade into the United States

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

Spatially-Distributed Temporally-Synchronised Infrasonic Recorder

"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"

OH!SHOWN 野生動物出沒痕跡通報系統

This repository displays IIT/UoW Web Design coursework, including an interactive gallery, SVG sitemap, wildlife blog, and a personal editor.

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

Sample implementation of the Anitra data API client.