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Object Detection is crucial for applications like Autonomous Driving and Surveillance. To assess the accuracy of detected bounding boxes, the Intersection over Union (IOU) metric is utilized, calculated as the Area of Intersection divided by the Area of Union. In a comparison using a bird image, three models are analyzed: Model A, Model B, and Model C. Ground Truth is marked in red, while predictions are in cyan. Initially, Model A appears to outperform Model B due to higher overlap with the Ground Truth. However, Model C has an even greater overlap than Model B, which complicates the assessment. This highlights the importance of careful evaluation in object detection models.
