January 2019
Intermediate to advanced
386 pages
11h 13m
English
Semantic segmentation is the process of assigning a class label (such as person, car, or tree) to each pixel of the image. You can think of it as classification, but on a pixel level – instead of classifying the entire image under one label, we'll classify each pixel separately. Here is an example of semantic segmentation:

To train a segmentation algorithm, we'll need a special type of groundtruth data, where the labels for each image are the semantically segmented version of the image.
There are many approaches to semantic segmentation, which we can see the in the following bullets:
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