PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

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.

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

A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images

Deep learning computer vision for classifying wildlife in camera trap images

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

Everything I know about machine learning and camera traps.

Docker image for running the MegaDetector v4 camera-trap object detection model.

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

Data Migration Code and Scripts for Wildlife Insights Data Providers

Bounding Box Editor and Exporter

Distance Estimation for Estimating Animal Abundance

📷🦔 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)

AI-Powered Camera-Trap Image Processing

Random Encounter Modelling in R

The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.

Bridging Digital and Natural Worlds at The Wilds

NC Candid Critters Project and Volunteer Management System