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

Estimating animal abundance within the range of the camera trap grid

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

BayDetect is a stack of functions aims to help streamline the pre/post processing of camera trap data via Microsoft's MegaDetector. This project was created to support the work of the biologists and ecologists at the Biodiversity, Conservation and Wildlife Management Department at the Bavarian State Institute of Forestry.

COCO-CameraTrap Indexer. An extension to pycocotools including location and sequence indexing.

Tools for manipulating the Wildlife Watcher, a smart camera to monitor animals in the wild.

Add and edit image metadata for your Camera Trap Images, OpenAI API Integration to assist with Species Classificaiton

WCS camera trap data from Latin America and detection - occupancy analysis

AiNaType is an open-source Python project for automated wildlife sign image classification, leveraging YOLO models to identify categories like live animal, dead specimen, scat, and tracks.

parte del curso: Modelado de la Ocupación, abundancia y densidad de poblaciones: enfoque frecuentista y bayesiano R

Filter cameras traps images with megadetector on a cluster

This repository contains the code and resources, which utilizes deep learning techniques to classify animal species in camera trap images. The project aims to support wildlife conservation efforts by automating the identification of species captured in images, reducing the time and effort required for manual analysis.

Pagina web de la red de foto trampeo de Colombia

Data & Code Supplement for "Environmental DNA as a management tool for tracking artificial waterhole use in savanna ecosystems"