Insect Detect ML - Software for classification of images and analysis of metadata from a DIY camera trap system

Download the software and notebooks with the latest updates from the insect-detect-ml GitHub Repo and visit the documentation website for more information about the Insect Detect DIY camera trap for automated insect monitoring (bioRxiv preprint).

Releases

In the v1.2 release, new Google Colab notebooks for custom training of YOLOv6, YOLOv7 and YOLOv8 detection models were added.

The check_images.py script was added, which can be used to automatically remove corrupted images that can sometimes be generated by the automated monitoring script of the DIY camera trap and will cause an error while running the classification script. Running the script will also give you the mean/min/max image width/height of your collected data as output.

New features

• Add YOLOv6, YOLOv7 and YOLOv8 model training notebooks: commit ba914e0
• Add check_images.py script: commit 2508fa4

Important Updates

Update license to AGPLv3: commit 78d55fc

Changelog

Changes between previous release and this release: https://github.com/maxsitt/insect-detect-ml/compare/v1.1...v1.2