There are 3 repositories under camera-traps topic.
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.
Everything I know about machine learning and camera traps.
A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
AI-Powered Camera-Trap Image Processing
ecoSecrets is a web application which enables users to manage their camera traps data
Distance Estimation for Estimating Animal Abundance
Camtraptor is an R package to read, explore and visualize Camera Trap Data Packages (Camtrap DP)
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
Docker image for running the MegaDetector v4 camera-trap object detection model.
MegaDetector Desktop: Simple Interface for Detection of Humans, Animals and Vehicles in Camera Trap Imagery
Description of ABMI's density estimation with camera data methods, plus supplemental data and functions.
A dataset of plant-frugivore ecological interactions recorded with camera traps in the Doñana National Park
:package: camtrapmonitoring is an R package for planning and evaluating camera trap surveys and (soon) estimating wildlife density. Formerly named {wildcam}.
Data Carpentry for Camera Traps
NC Candid Critters Project and Volunteer Management System
Website of ecoSecrets tool by Natural Solutions
Utilities and doucmentation for analyzing Animl camera trap data
Tools for working with Camera Trap images and data