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https://github.com/rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
https://github.com/rafaelpadilla/Object-Detection-Metrics
average-precision bounding-boxes mean-average-precision metrics object-detection pascal-voc precision-recall
Last synced: 3 months ago
JSON representation
Most popular metrics used to evaluate object detection algorithms.
- Host: GitHub
- URL: https://github.com/rafaelpadilla/Object-Detection-Metrics
- Owner: rafaelpadilla
- License: mit
- Created: 2018-05-23T17:51:15.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-10-01T13:12:57.000Z (about 1 year ago)
- Last Synced: 2024-05-22T04:32:19.332Z (6 months ago)
- Topics: average-precision, bounding-boxes, mean-average-precision, metrics, object-detection, pascal-voc, precision-recall
- Language: Python
- Homepage:
- Size: 10.4 MB
- Stars: 4,864
- Watchers: 70
- Forks: 1,021
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-cv - object-Detection-Metrics
- awesome-yolo-object-detection - rafaelpadilla/Object-Detection-Metrics - Detection-Metrics?style=social"/> : Most popular metrics used to evaluate object detection algorithms. "A Survey on Performance Metrics for Object-Detection Algorithms". (**[IWSSIP 2020](https://ieeexplore.ieee.org/abstract/document/9145130)**) (Applications)
- awesome-yolo-object-detection - rafaelpadilla/Object-Detection-Metrics - Detection-Metrics?style=social"/> : Most popular metrics used to evaluate object detection algorithms. "A Survey on Performance Metrics for Object-Detection Algorithms". (**[IWSSIP 2020](https://ieeexplore.ieee.org/abstract/document/9145130)**) (Applications)