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Object Detection is crucial for various applications, including Autonomous Driving and Surveillance. Evaluating the quality of bounding boxes post-detection is essential, and the Intersection over Union (IoU) metric is used for this purpose, defined as the Area of Intersection divided by the Area of Union. In the video, a bird image is referenced, comparing three object detection models: A, B, and C. The Ground Truth is shown in red, while predictions are in cyan. Initially, model A appears to outperform model B due to its higher overlap with the Ground Truth. However, model C demonstrates an even greater overlap with the Ground Truth, highlighting that despite A's apparent superiority, other models may offer improved localization and accuracy in predictions.
