Intersection over Union (IoU) in Object Detection and Segmentation
Intersection over Union (IoU) in Object Detection and Segmentation
“Intersection Over Union (IoU) is a number that quantifies the degree of overlap between two boxes. In the case of object detection and segmentation, IoU evaluates the overlap of Ground Truth and Prediction region.
If you are a computer vision practitioner or even an enthusiast, you must have come across the term very often. It is the first checkpoint for evaluating the accuracy of a model. In simple terms, it’s a metric that helps us measure the correctness of a prediction…”
Source: learnopencv.com/intersection-over-union-iou-in-object-detection-and-segmentation
July 1, 2022
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