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Image Enhancement datasets
archive 2025-07-28
18 datasets carry the task tag "Image Enhancement" (the task itself: Image Enhancement), ordered by the archive's paper count. Page 1 of 1: 18 shown of 18. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Image Enhancement datasets 1–18 of 18
LLVIP (A Visible-infrared Paired Dataset for Low-light Vision)
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,…
116 papers · 6 benchmarks
UIEB (Underwater Image Enhancement Benchmark Dataset)
Includes 950 real-world underwater images, 890 of which have the corresponding reference images.
87 papers · 1 benchmark
ExDark (Exclusively Dark Image Dataset)
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…
58 papers · 2 benchmarks
PolyU Dataset is a large dataset of real-world noisy images with reasonably obtained corresponding “ground truth” images.
34 papers · 1 benchmark
The MIT-Adobe FiveK dataset consists of 5,000 photographs taken with SLR cameras by a set of different photographers.
28 papers · 4 benchmarks
SQUID (Stereo Quantitative Underwater Image Dataset)
A dataset of images taken in different locations with varying water properties, showing color charts in the scenes.
24 papers · 0 benchmarks
A dataset of over 24,000 images exhibiting the broadest range of exposure values to date with a corresponding properly exposed image.
15 papers · 1 benchmark
The first large demoire dataset.
11 papers · 1 benchmark
CUHK Image Cropping is a dataset for image cropping.
3 papers · 0 benchmarks
NILUT (NILUT 3D LUT Dataset and enhanced images from MIT5K)
Read all the details about the dataset in our paper "NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement" We host the dataset in Kaggle: https://www.kaggle.com/datasets/photolab/nilut-3d-lut-dataset More information…
3 papers · 0 benchmarks
A test dataset SICEGrad image datasets to represent complex mixed over-/under-exposed scenes.
3 papers · 1 benchmark
A test dataset SICEMix image datasets to represent complex mixed over-/under-exposed scenes.
3 papers · 1 benchmark
The first ultra-high-definition image demoireing dataset, consisting of 4,500 4K resolution training pairs and 500 standard 4K resolution validation pairs.
2 papers · 1 benchmark
The goal of this project is to present two new datasets that seek to expand the capability of the Learning to See in the Dark Low-light enhancement CNN for the Canon 6D DSLR, and explore how the network performs when modified in various…
1 paper · 2 benchmarks
We establish the first large benchmark called IRBFD to facilitate the research in the area of nonuniformity correction and infrared UAV target detection, which consists of 50,000 manually labeled infrared images with various nonuniformity…
1 paper · 0 benchmarks
Dataset release for the BMVC 2021 Paper "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement" Abstract: Enhancing practical low light raw images is a difficult task due to severe noise and color distortions from short exposure…
1 paper · 2 benchmarks
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 · 0 benchmarks
We introduce low-light image enhancement benchmark dataset “Low-light Images of Streets (LoLI-Street),” which contains three subsets: train, validation, and test.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.