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Single Image Dehazing datasets

archive 2025-07-28

8 datasets carry the task tag "Single Image Dehazing" (the task itself: Single Image Dehazing), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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

Single Image Dehazing datasets 1–8 of 8

UIEB (Underwater Image Enhancement Benchmark Dataset)
Includes 950 real-world underwater images, 890 of which have the corresponding reference images.
87 papers · 1 benchmark
A new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE).
49 papers · 5 benchmarks
The I-Haze dataset contains 25 indoor hazy images (size 2833×4657 pixels) training.
41 papers · 1 benchmark
NN-HAZE is an image dehazing dataset.
37 papers · 2 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
The D-HAZY dataset is generated from NYU depth indoor image collection.
17 papers · 0 benchmarks
SMOKE (Real Dense Non-Uniform Fog)
The SMOKE dataset is a dataset for fog/smoke removal.
3 papers · 0 benchmarks
RB-Dust (RB-Dust: Real-world Industrial Dust Dehazing Dataset)
A small-scale real-world dataset containing hazy/dusty industrial images and their clean ground truth counterparts.
1 paper · 1 benchmark

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.