PetervanLunteren/AddaxAI
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
AddaxAI is an application designed to streamline the work of ecologists dealing with camera trap images. It’s an AI platform that allows you to analyse images with machine learning models for automatic detection, offering ecologists a way to save time and focus on conservation efforts.
Project name change
To avoid any legal concerns, we have renamed our project from EcoAssist to AddaxAI. The project itself remains the same—only the name has changed.
Cite AddaxAI in your research
If you used AddaxAI in your research, please include the following citation, along with the models used to analyze your data.
@article{van Lunteren2023,
title = {AddaxAI: A no-code platform to train and deploy custom YOLOv5 object detection models},
author = {Peter van Lunteren},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.05581},
url = {https://doi.org/10.21105/joss.05581},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {88},
pages = {5581}
}Contribute
Interested in contributing to this project? There are always things to do. The list of to-do items, bug reports, and feature requests is always evolving. I try to keep a semi-structured list here. Is there something you would be interested in? Get in touch and I will guide you in the right direction. Thanks!