10 datasets found

The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

The SHIMRIE dataset is a new dataset for the Object Segmentation from Manipulation Instructions (OSMI) task. It contains 4341 images and 11371 sentences, with a vocabulary size...

The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

The DAVIS dataset contains 60 training sequences and 30 validation sequences, with high-quality densely-annotated segmentation mask annotation for each frame.

Camouflaged object segmentation (COS) aims to iden-

The COD10K dataset is currently the largest challenging dataset for COD, containing 10K images with dense annotations.

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

A stacked carton dataset for detection and segmentation, containing carton images from three scenarios: comprehensive pharmaceutical logistics company (CPLC), e-commerce...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...