| 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. |
| cheind/py-motmetrics |
1,281 |
|
5 |
17 |
over 2 years ago |
9 |
December 26, 2022 |
55 |
mit |
Python |
| :bar_chart: Benchmark multiple object trackers (MOT) in Python |
| 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. |
| youngwanLEE/centermask2 |
673 |
|
0 |
0 |
over 4 years ago |
0 |
|
30 |
other |
Python |
| CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020 |
| amirassov/kaggle-imaterialist |
406 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6 |
| lars76/kmeans-anchor-boxes |
342 |
|
0 |
0 |
over 6 years ago |
0 |
|
13 |
mit |
Python |
| k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper |
| toodef/neural-pipeline |
314 |
|
0 |
0 |
almost 6 years ago |
19 |
February 12, 2019 |
29 |
mit |
Python |
| Neural networks training pipeline based on PyTorch |
| youngwanLEE/vovnet-detectron2 |
300 |
|
0 |
0 |
over 4 years ago |
0 |
|
11 |
other |
Python |
| VoVNet backbone networks for detectron2, in CVPR 2020 |
