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Image Inpainting datasets
archive 2025-07-28
17 datasets carry the task tag "Image Inpainting" (the task itself: Image Inpainting), 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 Inpainting datasets 1–17 of 17
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
15,430 papers · 52 benchmarks
CelebA (CelebFaces Attributes Dataset)
CelebFaces Attributes dataset contains 202,599 face images of the size 178×218 from 10,177 celebrities, each annotated with 40 binary labels indicating facial attributes like hair color, gender and age.
3,477 papers · 17 benchmarks
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
The Places dataset is proposed for scene recognition and contains more than 2.5 million images covering more than 205 scene categories with more than 5,000 images per category.
1,151 papers · 4 benchmarks
The CelebA-HQ dataset is a high-quality version of CelebA that consists of 30,000 images at 1024×1024 resolution.
954 papers · 13 benchmarks
ApolloScape is a large dataset consisting of over 140,000 video frames (73 street scene videos) from various locations in China under varying weather conditions.
74 papers · 4 benchmarks
The Places365 dataset is a scene recognition dataset.
65 papers · 7 benchmarks
Fashion-Gen consists of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by professional stylists.
36 papers · 0 benchmarks
CASIA V2 is a dataset for forgery classification.
15 papers · 0 benchmarks
FVI (Free-form Video Inpainting)
The Free-Form Video Inpainting dataset is a dataset used for training and evaluation video inpainting models.
8 papers · 0 benchmarks
FDF (Flickr Diverse Faces)
A diverse dataset of human faces, including unconventional poses, occluded faces, and a vast variability in backgrounds.
6 papers · 0 benchmarks
QST contains 1,167 video clips that are cut out from 216 time-lapse 4K videos collected from YouTube, which can be used for a variety of tasks, such as (high-resolution) video generation, (high-resolution) video prediction,…
3 papers · 0 benchmarks
PAL4Inpaint is a dataset consisting of 4,795 inpainting results with per-pixel perceptual artifacts annotations designed for image inpainting tasks.
2 papers · 0 benchmarks
The Inpainting dataset consists of synchronized Labeled image and LiDAR scanned point clouds.
1 paper · 1 benchmark
Synthetic training set: This set is constructed in the following two steps and will be used for estimation/training purposes.
1 paper · 0 benchmarks
Inpainting networks are typically benchmarked on samples from Places2 dataset.
1 paper · 0 benchmarks
Dataset for the DREAMING - Diminished Reality for Emerging Applications in Medicine through Inpainting Challenge!
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.