Computer Vision
Instance Segmentation
Combining object detection and segmentation to identify individual object instances at the pixel level.
Related Concepts
- Semantic Segmentation: Explore how Semantic Segmentation relates to Instance Segmentation
- Object Detection: Explore how Object Detection relates to Instance Segmentation
- Mask R-CNN: Explore how Mask R-CNN relates to Instance Segmentation
Why It Matters
Understanding Instance Segmentation is crucial for anyone working with computer vision. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
computer-vision semantic-segmentation object-detection mask-r-cnn
Related Terms
Mask R-CNN
Extending Faster R-CNN to instance segmentation by adding a mask prediction branch.
Object Detection
Identifying and localizing multiple objects in an image with bounding boxes and class labels (YOLO, R-CNN, RetinaNet).
Semantic Segmentation
Classifying every pixel in an image into categories, creating a pixel-level understanding of scenes.