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.
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.
If you used AddaxAI in your research, please include the following citation, along with the models used to analyze your data. AddaxAI was previously known as EcoAssist, and the citation reflects its former name. Please cite as 'AddaxAI, previously known as EcoAssist (van Lunteren, 2023)'.
@article{van_Lunteren_EcoAssist_2023,
author = {van Lunteren, Peter},
doi = {10.21105/joss.05581},
journal = {Journal of Open Source Software},
month = aug,
number = {88},
pages = {5581},
title = {{EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models}},
url = {https://joss.theoj.org/papers/10.21105/joss.05581},
volume = {8},
year = {2023}
}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!