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yolov10/docs/reference/utils/metrics.md
Glenn Jocher 11d0488bf1
Update prediction Results docs (#4139) 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2023-08-03 18:44:40 +02:00

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description keywords
Explore Ultralytics YOLO metrics tools - from confusion matrix, detection metrics, pose metrics to box IOU. Learn how to compute and plot precision-recall curves. Ultralytics, YOLO, YOLOv3, YOLOv4, metrics, confusion matrix, detection metrics, pose metrics, box IOU, mask IOU, plot precision-recall curves, compute average precision

Reference for ultralytics/utils/metrics.py

!!! note

Full source code for this file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/metrics.py).

::: ultralytics.utils.metrics.ConfusionMatrix



::: ultralytics.utils.metrics.Metric



::: ultralytics.utils.metrics.DetMetrics



::: ultralytics.utils.metrics.SegmentMetrics



::: ultralytics.utils.metrics.PoseMetrics



::: ultralytics.utils.metrics.ClassifyMetrics



::: ultralytics.utils.metrics.box_area



::: ultralytics.utils.metrics.bbox_ioa



::: ultralytics.utils.metrics.box_iou



::: ultralytics.utils.metrics.bbox_iou



::: ultralytics.utils.metrics.mask_iou



::: ultralytics.utils.metrics.kpt_iou



::: ultralytics.utils.metrics.smooth_BCE



::: ultralytics.utils.metrics.smooth



::: ultralytics.utils.metrics.plot_pr_curve



::: ultralytics.utils.metrics.plot_mc_curve



::: ultralytics.utils.metrics.compute_ap



::: ultralytics.utils.metrics.ap_per_class