---
description: Explore Ultralytics YOLO metrics tools - from confusion matrix, detection metrics, pose metrics to box IOU. Learn how to compute and plot precision-recall curves.
keywords: Ultralytics, YOLO, YOLOv3, YOLOv4, metrics, confusion matrix, detection metrics, pose metrics, box IOU, mask IOU, plot precision-recall curves, compute average precision
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## ConfusionMatrix
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### ::: ultralytics.utils.metrics.ConfusionMatrix
## Metric
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### ::: ultralytics.utils.metrics.Metric
## DetMetrics
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### ::: ultralytics.utils.metrics.DetMetrics
## SegmentMetrics
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### ::: ultralytics.utils.metrics.SegmentMetrics
## PoseMetrics
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### ::: ultralytics.utils.metrics.PoseMetrics
## ClassifyMetrics
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### ::: ultralytics.utils.metrics.ClassifyMetrics
## box_area
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### ::: ultralytics.utils.metrics.box_area
## bbox_ioa
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### ::: ultralytics.utils.metrics.bbox_ioa
## box_iou
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### ::: ultralytics.utils.metrics.box_iou
## bbox_iou
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### ::: ultralytics.utils.metrics.bbox_iou
## mask_iou
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### ::: ultralytics.utils.metrics.mask_iou
## kpt_iou
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### ::: ultralytics.utils.metrics.kpt_iou
## smooth_BCE
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### ::: ultralytics.utils.metrics.smooth_BCE
## smooth
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### ::: ultralytics.utils.metrics.smooth
## plot_pr_curve
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### ::: ultralytics.utils.metrics.plot_pr_curve
## plot_mc_curve
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### ::: ultralytics.utils.metrics.plot_mc_curve
## compute_ap
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### ::: ultralytics.utils.metrics.compute_ap
## ap_per_class
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### ::: ultralytics.utils.metrics.ap_per_class