Method for clasifying animal-genera from camera-trap images.
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Updated
Jan 4, 2018 - C
Method for clasifying animal-genera from camera-trap images.
Tools for working with Camera Trap images and data
The Pygmy Possum is a battery powered PIR (Passive Infrared) sensor for triggering remote camera traps.
Single-species, dynamic occupancy models to investigate seasonal habitat-use patterns
Exploration utilities for Wildlife Insights projects.
Small circuit to trigger cellphone camera
Multispecies occupancy models to investigate seasonal co-occurrence of predator-prey pairs and changes withing these co-occurrences.
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"
📦 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
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.
repository for species detection model training
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
Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models
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