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SotA/Computer Vision/Image Segmentation

Image Segmentation

27 benchmarks5035 papers

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.

Benchmarks

Image Segmentation on CAMO-FS

mask AP

Image Segmentation on MSD (Mirror Segmentation Dataset)

IoUF-measureMAE

Image Segmentation on PMD

IoUF-measureMAE

Image Segmentation on MAS3K

mIoUS-measureE-measureMAE

Image Segmentation on Pascal Panoptic Parts

mIoUPartS

Image Segmentation on RMAS

mIoUS-measureE-measureMAE

Image Segmentation on HuTu 80

Dice

Image Segmentation on MARIDA

IoUF1F1@M

Image Segmentation on PASCAL VOC

mIoUmAP0.5

Image Segmentation on COCO val2017

mask AP

Image Segmentation on EVD4UAV

Detection: Full (mAP@0.5)

Image Segmentation on ImageNet

GFLOPs

Image Segmentation on MSD Heart

mIoU

Image Segmentation on OxfordPets

Dice Score