What is Image Segmentation?

Image segmentation is a computer vision task that aims at identifying and delineating individual objects or regions of interest within an image, making it easier to recognize and detect objects. Image segmentation helps in understanding the image’s content by differentiating between the foreground and background.

Types of Image Segmentation

The high level categorization of image segmentation techniques are based on the nature of the segmentation. The main types of Image Segmentation are:

  1. Semantic Segmentation
  2. Instance Segmentation
  3. Panoptic Segmentation

Semantic Segmentation vs Instance Segmentation

Image segmentation task involves partitioning the image into many segments or regions based on color, intensity, texture or spatial proximity. In this article, we are going to understand semantic segmentation, instance segmentation and their key differences.

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What is Image Segmentation?

Image segmentation is a computer vision task that aims at identifying and delineating individual objects or regions of interest within an image, making it easier to recognize and detect objects. Image segmentation helps in understanding the image’s content by differentiating between the foreground and background....

What is Semantic Segmentation?

Semantic segmentation is a foundational technique in computer vision that focuses on classifying each pixel in an image into specific categories or classes, such as objects, parts of objects, or background regions. Unlike instance segmentation, which differentiates between individual object instances, semantic segmentation provides a holistic understanding of the image by segmenting it into meaningful semantic regions based on the content and context of the scene....

Instance Segmentation

Instance segmentation is an advanced image analysis technique that combines elements of object detection and semantic segmentation to identify and delineate individual object instances within an image at a detailed pixel level. Unlike semantic segmentation, which classifies each pixel into broad categories without distinguishing between different instances of the same class, instance segmentation provides a more granular understanding by differentiating between individual objects and assigning a unique label to each object instance....

Semantic Segmentation vs Instance Segmentation

In this section, we are going to cover the key differences between the segmentation techniques....

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