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

A desktop application that makes using MegaDetector's model easier

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

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

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

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

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

Universal Chimpanzee Face Embedding

repository for species detection model training

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

Estimate animal density and abundance using random encounter models

A repository for code and supporting documentation for KiloCam, the affordable monitoring camera for ecology.

Camera trap analysis easier than ever before

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

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

No description provided.

[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.

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

Exploration utilities for Wildlife Insights projects.

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

Tools for working with Camera Trap images and data

ct is an R package to manage and analyze camera trap data for wildlife monitoring and ecological research.

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

Small circuit to trigger cellphone camera

🚀 Enable dynamic scene reconstruction with BA-Track, leveraging motion decoupling and bundle adjustment for enhanced visual modeling.

Multispecies occupancy models to investigate seasonal co-occurrence of predator-prey pairs and changes withing these co-occurrences.

Mirror of https://gitlab.dynaikon.com/dynaikontrap/dynaikontrap