93 datasets found

The dataset used in the paper is a real-world dataset for testing the parametric efficiency of quadratic networks.

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

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.

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.

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

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 CREMI dataset consists of brain electron microscopy images (EM), and the ultimate goal is to reconstruct neurons at the micro-scale level.

The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.

The Caltech-UCSD Birds-200-2011 Dataset consists of 11,169 bird images from 200 categories and each category has 60 images averagely.

The Pascal VOC, Pascal Context, COCO-Object, Cityscapes, and ADE20k datasets are used for evaluation of the proposed method.

A dataset for unsupervised anomaly detection and localization.

A novel benchmark for evaluating methods on the original, high-resolution image and ground-truth masks, focusing on segmentation performance as a function of the size of anomalies.

Remote sensing image segmentation is a critical research area within remote sensing image processing. Its primary objective is to divide remote sensing imagery into separate...

The dataset is used for fission gas bubble segmentation on U-10Zr annular fuels.

Guided depth super-resolution (GDSR) involves restor- ing missing depth details using the high-resolution RGB image of the same scene.

The Penobscot 3D Survey dataset is a real seismic dataset acquired offshore Nova Scotia, Canada. It consists of a horizontal stack of 2D seismic images (slices), creating a 3D...

The Berkeley Image Segmentation Dataset (BSDS) is a standard benchmarking data set for many computer vision image segmentation algorithms.

The eBDtheque dataset is a large-scale database of comics, containing pixel-based ground truth for speech balloon detection.