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Explore detailed metrics and utility functions for model validation and performance analysis with Ultralytics' metrics module. Ultralytics, metrics, model validation, performance analysis, IoU, confusion matrix

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](https://docs.ultralytics.com/help/contributing/) 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