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Image Denoising datasets
archive 2025-07-28
22 datasets carry the task tag "Image Denoising" (the task itself: Image Denoising), ordered by the archive's paper count. Page 1 of 1: 22 shown of 22. 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 Denoising datasets 1–22 of 22
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
BSD (Berkeley Segmentation Dataset)
BSD is a dataset used frequently for image denoising and super-resolution.
718 papers · 48 benchmarks
The Urban100 dataset contains 100 images of urban scenes.
591 papers · 25 benchmarks
SIDD (Smartphone Image Denoising Dataset)
SIDD is an image denoising dataset containing 30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras.
245 papers · 2 benchmarks
The See-in-the-Dark (SID) dataset contains 5094 raw short-exposure images, each with a corresponding long-exposure reference image.
155 papers · 3 benchmarks
Color BSD68 dataset for image denoising benchmarks is part of The Berkeley Segmentation Dataset and Benchmark.
142 papers · 15 benchmarks
PolyU Dataset is a large dataset of real-world noisy images with reasonably obtained corresponding “ground truth” images.
34 papers · 1 benchmark
CRVD (Captured Raw Video Denoising)
The CRVD dataset consists of 55 groups of noisy-clean videos with ISO values ranging from 1600 to 25600.
26 papers · 1 benchmark
DND (Darmstadt Noise Dataset)
Benchmarking Denoising Algorithms with Real Photographs This dataset consists of 50 pairs of noisy and (nearly) noise-free images captured with four consumer cameras.
25 papers · 2 benchmarks
ELD (Extreme Low-light Denoising dataset)
Extreme low-light denoising (ELD) dataset that covers 10 indoor scenes and 4 camera devices from multiple brands (SonyA7S2, NikonD850, CanonEOS70D, CanonEOS700D).
23 papers · 2 benchmarks
Nam (A holistic approach to cross-channel image noise modeling and its application to image denoising)
A holistic approach to cross-channel image noise modeling and its application to image denoising
18 papers · 1 benchmark
FMD (Fluorescence Microscopy Denoising)
The Fluorescence Microscopy Denoising (FMD) dataset is dedicated to Poisson-Gaussian denoising.
17 papers · 2 benchmarks
SEN12MS-CR is a multi-modal and mono-temporal data set for cloud removal.
13 papers · 1 benchmark
A dataset of color images corrupted by natural noise due to low-light conditions, together with spatially and intensity-aligned low noise images of the same scenes.
12 papers · 1 benchmark
M4Raw (A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research)
Recently, low-field magnetic resonance imaging (MRI) has gained renewed interest to promote MRI accessibility and affordability worldwide.
11 papers · 0 benchmarks
NIND (Natural Image Noise Dataset)
An open dataset of real photographs with real noise, from identical scenes captured with varying ISO values.
8 papers · 0 benchmarks
SEN12MS-CR-TS is a multi-modal and multi-temporal data set for cloud removal.
7 papers · 1 benchmark
2DeteCT (2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning)
Maximilian B.
5 papers · 0 benchmarks
Synthetic training set: This set is constructed in the following two steps and will be used for estimation/training purposes.
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
RawNIND (Raw Natural Image Noise Dataset)
The Raw Natural Image Noise Dataset (RawNIND) is a diverse collection of paired raw images designed to support the development of denoising models that generalize across sensors, image development workflows, and styles.
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.