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All right, lets get this started! Object Detection plays a vital role in a wide range of applications from Autonomous Driving Systems to Surveillance cameras identifying potential threats. There needs to be a metric to evaluate the quality of bounding boxes after detection. Thats where Intersection over Union or IOU comes into picture. It can be mathematically expressed as Area of Intersection over Area of Union. Lets use this bird image as a reference. We have three object detection models, model A, Model B and model C. Ground Truth has been Illustrated using red color and predictions are shown using cyan color. model A has a relatively higher overlap with the Ground Truth compared to model B. We might conclude that model A is performing better right but hold on, theres more to the story! Model C comes into the picture, it has an even higher overlap with the Ground Truth than model B. In model C we can observe that the localization of prediction is ev
