Computer vision is an area of artificial intelligence that deals with extracting and analyzing valuable information from images. It can be used to read texts and numbers. For example, we can cite the translation of text visible through a camera in real-time or the evaluation of handwritten equations. Reding text in images has attracted increasing attention in computer vision due to many practical applications in document analysis, scene understanding, robot navigation, and image retrieval.
Instance segmentation is a computer vision task for detecting and localizing an object in an image. It is a natural sequence of semantic segmentation, and it is also one of the biggest challenges compared to other segmentation techniques.
Today, semantic segmentation is one of the key problems in the field of computer vision. Looking at the big picture, semantic segmentation is one of the high-level tasks that paves the way for a holistic understanding of the scene. The importance of understanding the scene as a fundamental problem with computer vision is highlighted by the fact that an increasing number of applications stem from the acquisition of knowledge from images.