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.

metrics

View on GitHub

1.2k Stars

228 Forks

1.2k Watchers

Python Language

other License

100 SrcLog Score

Cost to Build

$2.56M

Market Value

$10.11M

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about review_object_detection_metrics

Question copied to clipboard

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.

Question is copied to clipboard — paste it after the AI opens.

How to clone review_object_detection_metrics

Clone via HTTPS

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

Clone via SSH

[email protected]:rafaelpadilla/review_object_detection_metrics.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the review_object_detection_metrics issue tracker:

Open GitHub Issues

Similar to review_object_detection_metrics

netdata grafana prometheus influxdb kibana metrics graphite-web riemann amplify-js sitespeed.io mozaik pandora rubycritic phantomas node_exporter PhpMetrics javamelody appmetrics.js stagemonitor mtail kairosdb amon carbon tessera scouter Kamon PyTorch-NLP icinga2 micrometer banshee