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Image Reconstruction datasets
archive 2025-07-28
12 datasets carry the task tag "Image Reconstruction" (the task itself: Image Reconstruction), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. 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 Reconstruction datasets 1–12 of 12
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
15,430 papers · 52 benchmarks
The General-100 dataset is a dataset for image super-resolution.
30 papers · 0 benchmarks
CED (Color Event Camera Dataset)
Contains 50 minutes of footage with both color frames and events.
15 papers · 0 benchmarks
SEN12MS-CR is a multi-modal and mono-temporal data set for cloud removal.
13 papers · 1 benchmark
SEN12MS-CR-TS is a multi-modal and multi-temporal data set for cloud removal.
7 papers · 1 benchmark
Ultra-high definition benchmark (UHDBench) includes 2293 images at 2k resolution sourced from the ground-truth test sets of HRSOD, LIU4k, UAVid, UHDM, and UHRSD.
6 papers · 1 benchmark
2DeteCT (2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning)
Maximilian B.
5 papers · 0 benchmarks
OADAT (OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing)
An experimental and synthetic (simulated) OA raw signals and reconstructed image domain datasets rendered with different experimental parameters and tomographic acquisition geometries.
2 papers · 0 benchmarks
Used to show systematic performance improvement in applications such as high frame-rate video synthesis, feature/corner detection and tracking, as well as high dynamic range image reconstruction.
2 papers · 0 benchmarks
Overview The Spike-X4K Dataset is a high-resolution image reconstruction resource tailored for the latest advancements in spike camera technology.
1 paper · 1 benchmark
WiFiCam dataset for through-wall imaging based on WiFi channel state information.
1 paper · 0 benchmarks
CBCT Walnut (Cone-Beam X-Ray CT Data Collection Designed for Machine Learning)
The scans are performed using a custom-built, highly flexible X-ray CT scanner, the FleX-ray scanner, developed by XRE nvand located in the FleX-ray Lab at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands.
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.