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Image Super-Resolution datasets
archive 2025-07-28
43 datasets carry the task tag "Image Super-Resolution" (the task itself: Image Super-Resolution), ordered by the archive's paper count. Page 1 of 1: 43 shown of 43. 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 Super-Resolution datasets 1–43 of 43
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
15,430 papers · 52 benchmarks
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
CelebA (CelebFaces Attributes Dataset)
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels indicating facial attributes like hair color, gender and age.
3,477 papers · 17 benchmarks
Flickr-Faces-HQ (FFHQ) consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background.
1,468 papers · 17 benchmarks
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution.
954 papers · 13 benchmarks
BSD (Berkeley Segmentation Dataset)
BSD is a dataset used frequently for image denoising and super-resolution.
718 papers · 48 benchmarks
DIV2K is a popular single-image super-resolution dataset which contains 1,000 images with different scenes and is splitted to 800 for training, 100 for validation and 100 for testing.
654 papers · 3 benchmarks
The Urban100 dataset contains 100 images of urban scenes.
591 papers · 25 benchmarks
VGGFace2 (Vggface2: A dataset for recognising faces across pose and age)
VGGFace2 is a large-scale face recognition dataset.
539 papers · 3 benchmarks
The Set14 dataset is a dataset consisting of 14 images commonly used for testing performance of Image Super-Resolution models.
532 papers · 8 benchmarks
Perceptual Similarity is a dataset of human perceptual similarity judgments.
452 papers · 0 benchmarks
The Set5 dataset is a dataset consisting of 5 images (“baby”, “bird”, “butterfly”, “head”, “woman”) commonly used for testing performance of Image Super-Resolution models.
444 papers · 9 benchmarks
The CASIA-WebFace dataset is used for face verification and face identification tasks.
415 papers · 2 benchmarks
Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of Information Science and Technology, the University of Tokyo.
300 papers · 12 benchmarks
The Middlebury Stereo dataset consists of high-resolution stereo sequences with complex geometry and pixel-accurate ground-truth disparity data.
223 papers · 5 benchmarks
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing.
220 papers · 3 benchmarks
fMoW (Functional Map of the World)
Functional Map of the World (fMoW) is a dataset that aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich…
144 papers · 1 benchmark
Consists of 8,422 blurry and sharp image pairs with 65,784 densely annotated FG human bounding boxes.
95 papers · 4 benchmarks
xView is one of the largest publicly available datasets of overhead imagery.
93 papers · 1 benchmark
DRealSR (Diverse Real-world image Super-Resolution)
DRealSR establishes a Super Resolution (SR) benchmark with diverse real-world degradation processes, mitigating the limitations of conventional simulated image degradation.
36 papers · 1 benchmark
PIRM (Perceptual Image Restoration and Manipulation)
The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing.
32 papers · 1 benchmark
The General-100 dataset is a dataset for image super-resolution.
30 papers · 0 benchmarks
TextZoom is a super-resolution dataset that consists of paired Low Resolution – High Resolution scene text images.
28 papers · 2 benchmarks
Contains 1024 pairs of high-quality images and covers diverse scenarios.
26 papers · 0 benchmarks
Our dataset was made of videos from MSU Video Upscalers Benchmark Dataset, MSU Video Super-Resolution Benchmark Dataset and MSU Super-Resolution for Video Compression Benchmark Dataset.
26 papers · 1 benchmark
IXI (IXI Brain Development Dataset)
IXI Dataset is a collection of 600 MR brain images from normal, healthy subjects.
23 papers · 4 benchmarks
A 3D facial landmark dataset of around 230,000 images.
18 papers · 1 benchmark
OST300 is an outdoor scene dataset with 300 test images of outdoor scenes, and a training set of 7 categories of images with rich textures.
7 papers · 0 benchmarks
PROBA-V (PROBA-V Super-Resolution dataset)
The PROBA-V Super-Resolution dataset is the official dataset of ESA's Kelvins competition for "PROBA-V Super Resolution".
7 papers · 1 benchmark
We present a novel approach to reference-based super-resolution (RefSR) with the focus on real-world dual-camera super-resolution (DCSR).
5 papers · 0 benchmarks
AeroRIT is a hyperspectral dataset to facilitate aerial hyperspectral scene understanding.
4 papers · 0 benchmarks
QST contains 1,167 video clips that are cut out from 216 time-lapse 4K videos collected from YouTube, which can be used for a variety of tasks, such as (high-resolution) video generation, (high-resolution) video prediction,…
3 papers · 0 benchmarks
The airborne hyperspectral dataset was taken by Headwall Hyperspec-VNIR-C imaging sensor over agricultural and urban areas in Chikusei, Ibaraki, Japan, on July 29, 2014 between the times 9:56 to 10:53 UTC+9.
2 papers · 1 benchmark
A large-scale multi-scene dataset for stereo deblurring, containing 20,637 blurry-sharp stereo image pairs from 135 diverse sequences and their corresponding bidirectional disparities.
2 papers · 0 benchmarks
EDFace-Celeb-1M is a public Ethnically Diverse Face dataset which is used to benchmark the task of face hallucination.
2 papers · 0 benchmarks
Real-CE is a real-world Chinese-English benchmark dataset for the task of STISR with the emphasis on restoring structurally complex Chinese characters.
2 papers · 0 benchmarks
StereoMSI comprises of 350 registered colour-spectral image pairs.
2 papers · 0 benchmarks
The Sentinel-2 satellite carries 12 CMOS detectors for the VNIR bands, with adjacent detectors having overlapping fields of view that result in overlapping regions in level-1 B (L1B) images.
1 paper · 0 benchmarks
With the global availability of Multispectral Instrument (MSI, on-board Sentinel-2 satellite) data and Operational Land Imager (OLI, on-board Landsat-8 satellite) data which have 10 m and 30 m ground sample distance (GSD), respectively, it…
1 paper · 1 benchmark
SEN2VENµS is an open dataset for the super-resolution of Sentinel-2 images by leveraging simultaneous acquisitions with the VENµS satellite.
1 paper · 2 benchmarks
To construct such a dataset, a straightforward approach was scraping images from the web.
1 paper · 1 benchmark
A collection of photographic and synthetic images intended for analysis of image processing techniques and quality assessment of displays.
1 paper · 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.