review_object_detection_metrics

review_object_detection_metrics

rafaelpadilla

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.

metrics
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1.2k Stars
230 Forks
16 Watchers
Python Language
other License
100 SrcLog Score
Cost to Build
$2.64M
Market Value
$9.77M
How is this calculated?

Growth over time

10 data points  ·  2021-08-01 → 2026-08-01
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What is the rafaelpadilla/review_object_detection_metrics GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/rafaelpadilla/review_object_detection_metrics.git

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