IoU: Revision history

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20 March 2023

  • curprev 05:0205:02, 20 March 2023‎ Walle talk contribs‎ 3,253 bytes +3,253‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning and computer vision, '''Intersection over Union (IoU)''' is a commonly used evaluation metric for object detection and segmentation tasks. This metric measures the overlap between the predicted bounding box (or segmentation mask) and the ground truth bounding box (or segmentation mask), providing a quantitative assessment of the model's performance in terms of its ability to acc..."
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