A desktop application that makes using MegaDetector's model easier

Detection models and Python scripts for automated insect monitoring with the Insect Detect DIY camera trap.

Source files and assets of the documentation website for the Insect Detect DIY camera trap for automated insect monitoring.

Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

Method Multi-Layer Robust Principal Component Analysis. This method was introduced in the paper Camera-Trap Images Segmentation using Multi-Layer Robust Principal Component Analysis

Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.

1st Place Solution to iWildcam 2021: Count the number of animals of each species present in a sequence of images

repository for species detection model training

📦 camtrapmonitoring is an R package for planning and evaluating camera trap surveys and (soon) estimating wildlife density. Formerly named {wildcam}.

[CVPR Workshops 2021] TensorFlow implementation for the paper "Filtering Empty Camera Trap Images in Embedded Systems"

Camera trap analysis easier than ever before

Sense and record bats based on visuals, audio and VHF signals

Estimate animal density and abundance using random encounter models

[Ecological Informatics] TensorFlow implementation for the paper "Bag of tricks for long-tail visual recognition of animal species in camera-trap images"

The Pygmy Possum is a battery powered PIR (Passive Infrared) sensor for triggering remote camera traps.

Tools for working with Camera Trap images and data

Method for clasifying animal-genera from camera-trap images.

Single-species, dynamic occupancy models to investigate seasonal habitat-use patterns

Exploration utilities for Wildlife Insights projects.