Includes 950 real-world underwater images, 890 of which have the corresponding reference images.
23 PAPERS • 1 BENCHMARK
The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions) with 12 object classes (similar to PASCAL VOC) annotated on both image class level and local object bounding boxes.
21 PAPERS • 1 BENCHMARK
A dataset of images taken in different locations with varying water properties, showing color charts in the scenes. Moreover, to obtain ground truth, the 3D structure of the scene was calculated based on stereo imaging. This dataset enables a quantitative evaluation of restoration algorithms on natural images.
11 PAPERS • NO BENCHMARKS YET
A dataset of over 24,000 images exhibiting the broadest range of exposure values to date with a corresponding properly exposed image.
9 PAPERS • 1 BENCHMARK
The MIT-Adobe FiveK dataset consists of 5,000 photographs taken with SLR cameras by a set of different photographers. They are all in RAW format; that is, all the information recorded by the camera sensor is preserved. We made sure that these photographs cover a broad range of scenes, subjects, and lighting conditions. We then hired five photography students in an art school to adjust the tone of the photos. Each of them retouched all the 5,000 photos using a software dedicated to photo adjustment (Adobe Lightroom) on which they were extensively trained. We asked the retouchers to achieve visually pleasing renditions, akin to a postcard. The retouchers were compensated for their work.
9 PAPERS • 3 BENCHMARKS
PolyU Dataset is a large dataset of real-world noisy images with reasonably obtained corresponding “ground truth” images. The basic idea is to capture the same and unchanged scene for many (e.g., 500) times and compute their mean image, which can be roughly taken as the “ground truth” image for the real-world noisy images. The rational of this strategy is that for each pixel, the noise is generated randomly larger or smaller than 0. Sampling the same pixel many times and computing the average value will approximate the truth pixel value and alleviate significantly the noise.
7 PAPERS • NO BENCHMARKS YET
The first large demoire dataset. The dataset contains 135,000 image pairs, each containing an image contaminated with moire patterns and its corresponding uncontaminated reference image.
7 PAPERS • 1 BENCHMARK
Visible-infrared Paired Dataset for Low-light Vision 30976 images (15488 pairs) 24 dark scenes, 2 daytime scenes Support for image-to-image translation (visible to infrared, or infrared to visible), visible and infrared image fusion, low-light pedestrian detection, and infrared pedestrian detection
4 PAPERS • 4 BENCHMARKS
CUHK Image Cropping is a dataset for image cropping. The photos are of varying aesthetic quality and span a variety of image categories, including animal, architecture, human, landscape, night, plant and man-made objects. Each image is manually cropped by three expert photographers (graduate students in art whose primary medium is photography) to form three training sets. There are 1,000 photos in the dataset.
3 PAPERS • NO BENCHMARKS YET
PolarRR is a new dataset with more than 100 types of glass in which obtained transmission images are perfectly aligned with input mixed images.
1 PAPER • NO BENCHMARKS YET