---
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 🙏!
< br >
## ::: ultralytics.utils.metrics.ConfusionMatrix
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.Metric
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.DetMetrics
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.SegmentMetrics
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.PoseMetrics
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.ClassifyMetrics
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.OBBMetrics
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.bbox_ioa
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.box_iou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.bbox_iou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.mask_iou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.kpt_iou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics._get_covariance_matrix
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.probiou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.batch_probiou
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.smooth_BCE
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.smooth
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.plot_pr_curve
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.plot_mc_curve
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.compute_ap
< br > < br > < hr > < br >
## ::: ultralytics.utils.metrics.ap_per_class
< br > < br >