148 datasets found

The 7Scenes and Cambridge Landmarks datasets are used for evaluation of absolute pose estimators.

A comprehensive dataset featuring ten distinct hen breeds, capturing unique characteristics and traits of each breed.

A dataset of 13 full-length HRCT scans of varying thicknesses (0.67mm, 1mm, 2mm) used to test methods for detecting discrete broncho-arterial pairs and measuring...

The dataset is used for learning color constancy.

The dataset is used for auto-white balance correction.

Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios.

The dataset used in this paper is a binary image with outliers. The dataset is used to test the proposed convex hull algorithm for images with outliers.

The dataset contains MODIS multi-band images processed into a user-friendly framework.

A data basis of irregularly sampled images on a sphere is provided in [4]. It is constructed by projecting the MNIST image digits on d = 4096 points randomly sampled on the 3D...

Multi-Dimensional time series classification and prediction has been widely used in many fields, as disease prevention, fault diagnosis and action recognition.

A new semi-sparsity model for image structure-texture decomposition.

A dataset for cross-view image geo-localization with unknown orientation.

A dataset for predicting ground-level scene layout from aerial imagery.

A dataset of 405 natural images with a minimum of one flare spot artifact, captured by different cameras with different technical specifications.

The Extended Yale B database consists of 2414 frontal-face images of 38 subjects. Each subject has around 64 images. The images are cropped and normalized to 192 × 168 under...

VGGAffine is a dataset used to evaluate line segment detection algorithms.

Real and synthesized mmWave radar data, ground truth 2D depth images and point clouds for 3DRIMR experiments

The dataset used in this paper for computing 4th order 2D image moments using the Discrete Radon Transform.

Large-scale Visible Watermark Dataset (LVW) and Colored Large-scale Watermark Dataset (CLWD) for watermark removal task

The dataset used in this paper is a set of 2D images with key-points search.