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Image segmentation.

Image segmentation is a computer vision technique that divides a digital image into multiple parts or "segments," where each segment contains pixels with similar characteristics, such as color, texture, or brightness. The goal is to simplify an image by changing its representation into something more meaningful and easier to analyze, often by identifying and locating objects, their boundaries, and different regions within the image. This process has wide-ranging applications, from medical image analysis to autonomous vehicles and satellite imagery.

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§ 02 · Canonical benchmark

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§ 04 · All datasets

Tracked datasets.

9 datasets tracked for this task.

ADE20K
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BRAVO (OOD)
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BSDS500
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COCO 2017 Instance Segmentation
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CityScapes
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LVIS (Instance Segmentation)
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LoveDA
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Oxford-IIIT Pets
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PASCAL VOC 2012
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§ 05 · Related tasks

Other tasks in Computer Vision.

3D Understanding3D generationDepth estimationFew-Shot Image ClassificationImage ClassificationImage editingImage generationOCR
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