Review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Supervision | 9,320 |  | 57 | 3 months ago | 43 | December 08, 2023 | 74 | mit | Python | |
| We write your reusable computer vision tools. 💜 | ||||||||||
| Object Detection Metrics | 4,693 | 7 months ago | 1 | mit | Python | |||||
| Most popular metrics used to evaluate object detection algorithms. | ||||||||||
| Map | 2,685 | a year ago | 99 | apache-2.0 | Python | |||||
| mean Average Precision - This code evaluates the performance of your neural net for object recognition. | ||||||||||
| Review_object_detection_metrics | 939 | 7 months ago | 3 | other | Python | |||||
| Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc. | ||||||||||
| Globox | 131 | 6 months ago | 17 | November 01, 2023 | mit | Python | ||||
| A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics. | ||||||||||
| Seg_metrics_pytorch | 12 | 6 years ago | 1 | Python | ||||||
| Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable] | ||||||||||
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Python
Metrics
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Object Detection
Bounding Boxes
Pascal Voc