ultralytics/docs/en/reference/utils/metrics.md

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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

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). If you spot a problem please help fix it by [contributing](/help/contributing.md) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/metrics.py) 🛠️. Thank you 🙏!

::: 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.OBBMetrics

::: 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._get_covariance_matrix

::: ultralytics.utils.metrics.probiou

::: ultralytics.utils.metrics.batch_probiou

::: 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