Home › Datasets › task › Body Detection

Body Detection datasets

archive 2025-07-28

6 datasets carry the task tag "Body Detection" (the task itself: Body Detection), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. 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

Body Detection datasets 1–6 of 6

Manga109 has been compiled by the Aizawa Yamasaki Matsui Laboratory, Department of Information and Communication Engineering, the Graduate School of Information Science and Technology, the University of Tokyo.
300 papers · 12 benchmarks
In Clipart1k, the target domain classes to be detected are the same as those in the source domain.
48 papers · 3 benchmarks
Watercolor2k is a dataset used for cross-domain object detection which contains 2k watercolor images with image and instance-level annotations.
37 papers · 3 benchmarks
Comic2k is a dataset used for cross-domain object detection which contains 2k comic images with image and instance-level annotations.
29 papers · 4 benchmarks
The DCM dataset is composed of 772 annotated images from 27 golden age comic books.
4 papers · 3 benchmarks
DermSynth3D (3DBodyTex.DermSynth3D)
A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and GT binary masks of non-skin regions…
1 paper · 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.