Precision Recall and mAP

[carry-xz]

hi , nice work
But when i train with my dataset which only has one class, I get same p, r with diffierent iou threshold. is that right? this is the result of p r and ap , I just print the value in test.py line 178.

p: [[ 0.39592 0.39592 0.39592 0.39592 0.39592 0.39592 0.39592 0.39592 0.39592 0.39592]]
r: [[ 0.85968 0.85968 0.85968 0.85968 0.85968 0.85968 0.85968 0.85968 0.85968 0.85968]]
ap: [[ 0.76316 0.717 0.66569 0.6059 0.52429 0.42925 0.31236 0.19329 0.07503 0.005899]]
f1: [[ 0.54216 0.54216 0.54216 0.54216 0.54216 0.54216 0.54216 0.54216 0.54216 0.54216]]

[github-actions]

Hello @carry-xz, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Google Colab Notebook, Docker Image, and GCP Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note that Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

• Cloud-based AI surveillance systems operating on hundreds of HD video streams in realtime.
• Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
• Custom data training, hyperparameter evolution, and model exportation to any destination.

For more information please visit https://www.ultralytics.com.

[glenn-jocher]

@carry-xz I'm not sure I understand the question. You can view test results by class with the --verbose argument:

python test.py --verbose

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.