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Image Matting datasets

archive 2025-07-28

8 datasets carry the task tag "Image Matting" (the task itself: Image Matting), 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

Image Matting datasets 1–8 of 8

Composition-1K is a large-scale image matting dataset including 49300 training images and 1000 testing images.
57 papers · 1 benchmark
AIM-500 (Automatic Image Matting-500)
AIM-500 is the first natural image matting test set, contains 500 high-resolution real-world natural images from three types of images (salient opaque foregrounds, salient transparent/meticulous foregrounds, non-salient foregrounds), and…
23 papers · 1 benchmark
Dinstinctions-646 are composed of 646 foreground images with manually annotated alpha mattes
19 papers · 1 benchmark
A large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns.
18 papers · 0 benchmarks
P3M-10k (Privacy-Preserving Portrait Matting Dataset)
P3M-10k contains 10421 high-resolution real-world face-blurred portrait images, along with their manually labeled alpha mattes.
12 papers · 1 benchmark
PPM is a portrait matting benchmark with the following characteristics: - Fine Annotation - All images are labeled and checked carefully.
9 papers · 1 benchmark
AM-2K (Animal Matting 2,000 Dataset)
AM-2k (Animal Matting 2,000 Dataset) consists of 2,000 high-resolution images collected and carefully selected from websites with open licenses.
6 papers · 1 benchmark
withoutbg100 dataset (withoutbg100 Dataset for Image Matting)
The withoutbg100 dataset consists of 100 image and alpha matte pairs.
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.