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Denoising datasets
archive 2025-07-28
23 datasets carry the task tag "Denoising" (the task itself: Denoising), ordered by the archive's paper count. Page 1 of 1: 23 shown of 23. 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
Denoising datasets 1–23 of 23
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
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
The BirdSong dataset consists of audio recordings of bird songs at the H.
35 papers · 0 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
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an…
20 papers · 8 benchmarks
FMD (Fluorescence Microscopy Denoising)
The Fluorescence Microscopy Denoising (FMD) dataset is dedicated to Poisson-Gaussian denoising.
17 papers · 2 benchmarks
the dataset contains data about hydrogen storage in metal hydrides
13 papers · 2 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
2DeteCT (2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning)
Maximilian B.
5 papers · 0 benchmarks
The Raider dataset collects fMRI recordings of 1000 voxels from the ventral temporal cortex, for 10 healthy adult participants passively watching the full-length movie “Raiders of the Lost Ark”.
5 papers · 0 benchmarks
S2TLD (SJTU Small Traffic Light Dataset)
S2TLD is a traffic light dataset, which contains 5,786 images of approximately 1,080 1,920 pixels and 720 1,280 pixels.
4 papers · 0 benchmarks
CommitBART is a benchmark for researching commit-related task such as denoising, cross-modal generation and contrastive learning.
3 papers · 0 benchmarks
The dataset has 10.5 hours from a single speaker.
2 papers · 0 benchmarks
An open data corpus of 123.610 labeled samples, Source: Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification
1 paper · 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
Advanced pixel shift technology is employed to perform a full color sampling of the image.
1 paper · 0 benchmarks
The PointDenoisingBenchmark dataset features 28 different shapes, split into 18 training shapes and 10 test shapes.
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
We propose a new light field image database called “PINet” inheriting the hierarchical structure from WordNet.
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.