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Instance Segmentation

[ˈɪnstəns ˌsɛɡmɛnˈteɪʃən]
Computer Vision
Last updated: December 9, 2024

Definition

An extension of semantic segmentation that also distinguishes between different instances of the same class.

Detailed Explanation

Instance segmentation combines object detection and semantic segmentation to identify individual object instances and their precise boundaries. Popular approaches include Mask R-CNN and other two-stage detectors that first locate objects and then perform pixel-wise segmentation within each detection.

Use Cases

1. Robot manipulation tasks 2. Scene understanding 3. Industrial automation 4. Retail analytics

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