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---
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
---
## ConfusionMatrix
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### ::: ultralytics.utils.metrics.ConfusionMatrix
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## Metric
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### ::: ultralytics.utils.metrics.Metric
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## DetMetrics
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### ::: ultralytics.utils.metrics.DetMetrics
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## SegmentMetrics
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### ::: ultralytics.utils.metrics.SegmentMetrics
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## PoseMetrics
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### ::: ultralytics.utils.metrics.PoseMetrics
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## ClassifyMetrics
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### ::: ultralytics.utils.metrics.ClassifyMetrics
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## box_area
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### ::: ultralytics.utils.metrics.box_area
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## bbox_ioa
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### ::: ultralytics.utils.metrics.bbox_ioa
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## box_iou
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### ::: ultralytics.utils.metrics.box_iou
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## bbox_iou
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### ::: ultralytics.utils.metrics.bbox_iou
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## mask_iou
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### ::: ultralytics.utils.metrics.mask_iou
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## kpt_iou
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### ::: ultralytics.utils.metrics.kpt_iou
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## smooth_BCE
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### ::: ultralytics.utils.metrics.smooth_BCE
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## smooth
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### ::: ultralytics.utils.metrics.smooth
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## plot_pr_curve
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### ::: ultralytics.utils.metrics.plot_pr_curve
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## plot_mc_curve
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### ::: ultralytics.utils.metrics.plot_mc_curve
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## compute_ap
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### ::: ultralytics.utils.metrics.compute_ap
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## ap_per_class
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### ::: ultralytics.utils.metrics.ap_per_class
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