26 datasets found

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

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.

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 cross-view image geo-localization with unknown orientation.

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

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

A novel MicroISP model designed specifically for edge devices, taking into account their computational and memory limitations.

A novel MicroISP model designed specifically for edge devices, taking into account their computational and memory limitations.

The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection.

A fast, scalable, and reliable deghosting method for extreme exposure fusion.

An objective deghosting quality metric for HDR images.

Deep high dynamic range imaging of dynamic scenes.

Frame high dynamic range photography.

Convolutional neural networks (CNNs) have become the state-of-the-art tool for dealing with unsolved problems in computer vision and image processing.

The dataset used in the paper is CIFAR-10-C and ImageNet-C, which are common corruption benchmarks.

The dataset consists of four synthetic rendered scenes and four real captured scenes. The synthetic scenes provide control and ground truth for evaluation, while the real...

The CelebAHQ dataset was used with a fixed removal mask located near the image centers [11].

Aerial images of London.