260 datasets found

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.

The dataset used in this paper is the BSDS500 dataset, which contains 200 natural images with over 1000 ground truth labellings.

The dataset used in the paper is GTA5 and SYNTHIA, which are used for domain adaptive semantic segmentation (DASS).

The dataset used in this paper for occluded apple tree segmentation.

The dataset used for one-shot semantic segmentation, including COCO-20i, FSS-1000, and LVIS-92i.

The Gaofen dataset is a high-quality PolSAR semantic segmentation dataset.

Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch...