112 datasets found

The dataset used in this paper is a collection of images of faces, each with a different expression.

The dataset used in the paper is a suite of 16 real benchmarks for deep learning and image processing applications.

The dataset includes image processing operators and their properties.

The dataset includes image processing operators such as Sobel and Hough.

The PASCAL VOC2012 dataset is a benchmark for object detection, containing 1464 images with corresponding labeled object instances for 20 classes.

The SBD dataset is a benchmark for semantic edge detection, containing 11,355 images with corresponding labeled semantic edge maps for 20 Pascal VOC classes.

The Hough transform is an image processing technique for finding mathematically predefined objects such as lines and circles in an image. The Hough transform is also applied in...

The dataset used for image quality analysis, specifically for detecting safety hazards in image processing.

The dataset is a photogrammetric digital surface model of the city of Zurich in Switzerland, processed using the photogrammetric surface reconstruction software SURE.

The Total Variation (TV) regularization is a deterministic technique that safeguards discontinuities in image processing tasks.

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

The R4R dataset is a larger VLN dataset than R2R and with more complicated navigation paths.

The R2R dataset is a dataset based on real photos taken in indoor environments. It attracts massive attention for its simple-form task, which at the same time requires complex...

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 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...

A dataset for parking analytics using deep learning and image processing.

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