docs/en/reference/utils/metrics.md

metadata

description: >-
  Explore detailed metrics and utility functions for model validation and
  performance analysis with Ultralytics' metrics module.
keywords: >-
  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

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::: ultralytics.utils.metrics.Metric

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::: ultralytics.utils.metrics.DetMetrics

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::: ultralytics.utils.metrics.SegmentMetrics

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::: ultralytics.utils.metrics.PoseMetrics

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::: ultralytics.utils.metrics.ClassifyMetrics

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::: ultralytics.utils.metrics.OBBMetrics

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::: ultralytics.utils.metrics.bbox_ioa

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::: ultralytics.utils.metrics.box_iou

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::: ultralytics.utils.metrics.bbox_iou

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::: ultralytics.utils.metrics.mask_iou

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::: ultralytics.utils.metrics.kpt_iou

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::: ultralytics.utils.metrics._get_covariance_matrix

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::: ultralytics.utils.metrics.probiou

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::: ultralytics.utils.metrics.batch_probiou

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::: ultralytics.utils.metrics.smooth_BCE

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::: ultralytics.utils.metrics.smooth

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::: ultralytics.utils.metrics.plot_pr_curve

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::: ultralytics.utils.metrics.plot_mc_curve

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::: ultralytics.utils.metrics.compute_ap

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::: ultralytics.utils.metrics.ap_per_class