Scores and metrics in machine learning are used to evaluate the performance of a model on a given dataset. These provide a way to understand how a model is performing and also compare different models and choose the one that performs the best.
In this article, we will focus on the IoU score, which stands for Intersection over Union. IoU is a widely used metric in the field of object detection, where the goal is to locate and classify objects in images or videos. We'll also identify limitations and solutions.