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status Project Status: Active The project has reached a stable, usable state and is being actively developed. GitHub GitHub last commit


EcoAssist 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.

Cite

Please use the following citations if you used EcoAssist in your research.

EcoAssist

Link to paper

@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}
}
MegaDetector

Link to paper

@article{Beery_Efficient_2019,
  title     = {Efficient Pipeline for Camera Trap Image Review},
  author    = {Beery, Sara and Morris, Dan and Yang, Siyu},
  journal   = {arXiv preprint arXiv:1907.06772},
  year      = {2019}
}

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!