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Image Dehazing datasets

archive 2025-07-28

17 datasets carry the task tag "Image Dehazing" (the task itself: Image Dehazing), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. 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 Dehazing datasets 1–17 of 17

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
DENSE (Depth Estimation oN Synthetic Events)
DENSE (Depth Estimation oN Synthetic Events) is a new dataset with synthetic events and perfect ground truth.
49 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
Haze4k is a synthesized dataset with 4,000 hazy images, in which each hazy image has the associate ground truths of a latent clean image, a transmission map, and an atmospheric light ma
27 papers · 1 benchmark
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
A large-scale non-homogeneous remote sensing image dehazing dataset
11 papers · 1 benchmark
ERA (Event Recognition in Aerial videos)
Consists of 2,864 videos each with a label from 25 different classes corresponding to an event unfolding 5 seconds.
8 papers · 0 benchmarks
A dataset of over 65,000 pairs of incorrectly white-balanced images and their corresponding correctly white-balanced images.
7 papers · 0 benchmarks
A large-scale video dataset for MOR in aerial videos.
6 papers · 0 benchmarks
SMOKE (Real Dense Non-Uniform Fog)
The SMOKE dataset is a dataset for fog/smoke removal.
3 papers · 0 benchmarks
The existing multi-modality image fusion dataset lacks comprehensive coverage of adverse weather scenarios.
1 paper · 0 benchmarks
The laparoscopic surgery dataset is associated with our International Journal of Computer Assisted Radiology and Surgery (IJCARS) publication titled “DeSmoke-LAP: Improved Unpaired Image-to-Image Translation for Desmoking in Laparoscopic…
1 paper · 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.