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In computer vision, image classification is not the only problem that we try to solve. There are two other problems that we solve using computer vision, which is object detection and image segmentation. In this short video, I will explain you the difference between these three using a simple example. For image classification you try to classify entire image as one of the classes, for example is this a dog or not. Image classification with localization means you not only classify the image as one of the class but you find the location of that object within the image. So this is called image classification with localization. If you have multiple objects in your image such as cat and dog, you might want to find their location and you can try drawing these bounding boxes or rectangles specifying the location of these classes. This is called object detection. In the image, youre trying to detect an object, which in this case is cat and dog and youre drawing these bounding boxes or rectan