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Human Part Segmentation datasets
archive 2025-07-28
10 datasets carry the task tag "Human Part Segmentation" (the task itself: Human Part Segmentation), ordered by the archive's paper count. Page 1 of 1: 10 shown of 10. 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
Human Part Segmentation datasets 1–10 of 10
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding images captured by a high-speed motion capture system.
783 papers · 13 benchmarks
PASCAL-Part is a set of additional annotations for PASCAL VOC 2010.
65 papers · 4 benchmarks
CIHP (Crowd Instance-level Human Parsing)
The Crowd Instance-level Human Parsing (CIHP) dataset has 38,280 diverse human images.
33 papers · 1 benchmark
MHP (Multiple-Human Parsing)
The MHP dataset contains multiple persons captured in real-world scenes with pixel-level fine-grained semantic annotations in an instance-aware setting.
14 papers · 3 benchmarks
The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset.
9 papers · 2 benchmarks
The Cityscapes Panoptic Parts dataset introduces part-aware panoptic segmentation annotations for the Cityscapes dataset.
8 papers · 1 benchmark
TikTok Dataset (Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos)
We learn high fidelity human depths by leveraging a collection of social media dance videos scraped from the TikTok mobile social networking application.
8 papers · 0 benchmarks
AeroPath (AeroPath: An airway segmentation benchmark dataset with challenging pathology)
Public benchmark dataset (AeroPath), consisting of 27 CT images from patients with pathologies ranging from emphysema to large tumors, with corresponding trachea and bronchi annotations.
3 papers · 0 benchmarks
CCIHP (Characterized Crowd Instance-level Human Parsing)
CCIHP dataset is devoted to fine-grained description of people in the wild with localized & characterized semantic attributes.
1 paper · 0 benchmarks
VESSEL12 (VESsel SEgmentation in the Lung 2012)
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.