Object detection of 2D images. YOLOv2 is an object detection network developed by Redmon & Farhadi, which identifies objects in images and draws bounding boxes around them.
Tags
AMD64colabnotebookdenoising
Citation
https://doi.org/10.1038/s41467-021-22518-0von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
https://doi.org/10.1109/CVPR.2017.690J. Redmon and A. Farhadi, YOLO9000: Better, Faster, Stronger, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 6517-6525, doi: 10.1109/CVPR.2017.690.
Solution written by
DL4MicEverywhere team
album team
Arguments
--path
What is your working path? (default value: .)
Usage instructions
Please follow this link for details on how to install and run this solution.
