Image Classification Vs Image Classification With Localization Vs Image Segmentation
While dealing with Image processing problems we many times come across the following terms:
Image Classification
Image Classification With Localization
Image Segmentation
Do you actually know what is the exact difference between these three terms, if not don’t worry I’ll explain you the exact difference in the simplest way.
Image Classification
In image classification, we attempt to classify a complete image as belonging to one of the classes. As an example:
If we are given an image of a cat, the image classification model predicts whether or not the image is of a cat.
Image Classification With Localization
Image classification with localization involves not only identifying the class of an image but also determining the location of that object inside the image.
If there are two or more objects inside one image, we draw bounding boxes around the objects to identify their location.
Image Segmentation
Image segmentation is the problem of grouping together elements of an image that correspond to the same object class. In simpler terms, mage segmentation is the process of classifying each pixel as one of the objects.
I hope you enjoyed this short and simple blog on image processing, do share this blog with your friend and colleagues.
