computer-vision-13
Image Segmentation
3260 papers • 126 benchmarks • 313 datasets
Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in image-segmentation-13
Trend
Dataset
Best Model
Actions
MSD (Mirror Segmentation Dataset)
MSD (Mirror Segmentation Dataset)
PMD
PMD
Pascal Panoptic Parts
Libraries
iUse these libraries to find image-segmentation-13 models and implementations
20 papers 8,417
