| roboflow/supervision |
9,320 |
|
0 |
57 |
about 2 years ago |
43 |
December 08, 2023 |
74 |
mit |
Python |
| We write your reusable computer vision tools. 💜 |
| rafaelpadilla/Object-Detection-Metrics |
4,693 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| Most popular metrics used to evaluate object detection algorithms. |
| Cartucho/mAP |
2,685 |
|
0 |
0 |
almost 3 years ago |
0 |
|
99 |
apache-2.0 |
Python |
| mean Average Precision - This code evaluates the performance of your neural net for object recognition. |
| rafaelpadilla/review_object_detection_metrics |
939 |
|
0 |
0 |
over 2 years ago |
0 |
|
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. |
| laclouis5/globox |
131 |
|
0 |
0 |
over 2 years ago |
17 |
November 01, 2023 |
0 |
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. |
| BardOfCodes/seg_metrics_pytorch |
12 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Python |
| Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable] |
