YOLO-Coco-Dataset-Custom-Classes-Extractor
review_object_detection_metrics
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YOLO-Coco-Dataset-Custom-Classes-Extractor | review_object_detection_metrics | |
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1 | 2 | |
23 | 1,007 | |
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0.0 | 0.0 | |
almost 3 years ago | 4 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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YOLO-Coco-Dataset-Custom-Classes-Extractor
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Download specific classes from the Coco Dataset in the Yolo format!
GitHub Repo: https://github.com/KaranJagtiani/YOLO-Coco-Dataset-Custom-Classes-Extractor
review_object_detection_metrics
- How to run PyQt5 applications on Ubuntu (WSLg)?
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Links to papers or books that discuss model evaluation methods for object detection models
This is a good repository for you to start. https://github.com/rafaelpadilla/review_object_detection_metrics Ultimately you would want to compute the precision, recall, average precision, average recall, and mean Average Precision (mAP) that you’ve probably seen in many papers. Good luck!
What are some alternatives?
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