Intersection over Union (IoU) is a metric used to evaluate the accuracy of object detection algorithms by measuring the overlap between the predicted bounding box and the ground truth bounding box. This metric is particularly useful in image processing and analysis, where determining how well a model identifies objects in images is crucial. IoU provides a ratio that helps quantify the degree of overlap, offering insights into model performance and guiding improvements in detection algorithms.
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