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Update IoU capitalization (#8604)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Dean Mark <2552482+deanmark@users.noreply.github.com>
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Glenn Jocher 2024-03-02 22:12:23 +01:00 • committed by GitHub
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docs/en/guides/yolo-performance-metrics.md
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@ -18,7 +18,7 @@ Performance metrics are key tools to evaluate the accuracy and efficiency of obj
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Ultralytics YOLOv8 Performance Metrics | MAP, F1 Score, Precision, IOU & Accuracy
<strong>Watch:</strong> Ultralytics YOLOv8 Performance Metrics | MAP, F1 Score, Precision, IoU & Accuracy
</p>
## Object Detection Metrics

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docs/en/reference/utils/metrics.md
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@ -1,6 +1,6 @@
---
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
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
---
# Reference for `ultralytics/utils/metrics.py`