EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models

Python Submitted 11 May 2023Published 04 August 2023
Review

Editor: @mstimberg (all papers)
Reviewers: @animikhaich (all reviews), @oparisot (all reviews)

Authors

Peter van Lunteren (0000-0001-5488-4225)

Citation

van Lunteren, P., (2023). EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models. Journal of Open Source Software, 8(88), 5581, https://doi.org/10.21105/joss.05581

@article{van Lunteren2023, 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}, author = {Peter van Lunteren}, title = {EcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection models}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

artificial intelligence machine learning deep learning object detection yolov5 annotation tool cameratraps

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066