Detection models and Python scripts for automated insect monitoring with the Insect Detect DIY camera trap.
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Updated
May 23, 2024 - Python
Detection models and Python scripts for automated insect monitoring 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
lightweight web-based motion security cam viewer frontend with image management and detection control. Camera trap with less administration effort optimized for pragmatic home surveillance and mobile use made for Debian @ Raspberry Pi security webcam.
A desktop application that makes using MegaDetector's model easier
Sense and record bats based on visuals, audio and VHF signals
Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected 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.
Tools for working with Camera Trap images and data
repository for species detection model training
The Pygmy Possum is a battery powered PIR (Passive Infrared) sensor for triggering remote camera traps.
Method for clasifying animal-genera from camera-trap images.
Single-species, dynamic occupancy models to investigate seasonal habitat-use patterns
📦 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
Exploration utilities for Wildlife Insights projects.
Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models
Small circuit to trigger cellphone camera
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