246 datasets found

Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians.

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

Few-shot segmentation remains challenging due to the limitations of its labeling information for unseen classes. Most previous approaches rely on extracting high-level feature...

The GTA dataset consists of 24966 synthetic images synthetically generated from a video game consisting of outdoor scenes with rich variety of variations in lighting and traffic...

Vegetation change assessment in satellite imagery using U-net super-neural segmentation and similarity calculation

Dataset of breast ultrasound images for image segmentation tasks.

Three publicly available medical imaging datasets: Breast Ultrasound Scan Images (BUSI), CVC-ClinicDB, and ISIC-2016.

Semantic segmentation in high resolution remote sensing images

Semantic segmentation in high resolution remote sensing images

The dataset used in this study consists of multiple aerial and satellite datasets, including UAV, Airborne, and Satellite data.

The dataset used in this study consists of multiple aerial and satellite datasets, including UAV, Airborne, and Satellite data.

The NYUD-v2 dataset is a benchmark for indoor scene segmentation and depth estimation. It contains 1449 images with 4 tasks: semantic segmentation, depth estimation, surface...

Street View is a large-scale dataset of 3D scenes, consisting of millions of images taken from street-level cameras.

The Foggy Cityscapes dataset is an extension to the Cityscapes dataset, containing 5k diverse real-world urban driving scenes with fog.

The Hyper-Kvasir→Piccolo task is a domain adaptation task for semantic segmentation, where the source domain is Hyper-Kvasir and the target domain is Piccolo.

The Synthia→Cityscapes task is a domain adaptation task for semantic segmentation, where the source domain is Synthia and the target domain is Cityscapes.

A new Multiorgan Lesion Segmentation (MLS) dataset that contains images of various organs, including brain, liver, and lung, across different imaging modalities—MR and CT.

Implicit ray-transformers for multi-view remote sensing image segmentation

Remote-sensing image segmentation based on implicit 3-d scene representation

Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse perspectives within a scene.