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Human Detection datasets

archive 2025-07-28

14 datasets carry the task tag "Human Detection" (the task itself: Human Detection), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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 Detection datasets 1–14 of 14

JRDB (JackRabbot Dataset and Benchmark)
A novel egocentric dataset collected from social mobile manipulator JackRabbot.
33 papers · 1 benchmark
UCF-CC-50 is a dataset for crowd counting and consists of images of extremely dense crowds.
32 papers · 0 benchmarks
TinyPerson is a benchmark for tiny object detection in a long distance and with massive backgrounds.
25 papers · 0 benchmarks
MIAP (More Inclusive Annotations for People)
MIAP is a dataset created by obtaining a new set of annotations on a subset of the Open Images dataset, containing bounding boxes and attributes for all of the people visible in those images, as the original Open Images dataset annotations…
15 papers · 0 benchmarks
PANDA is the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis.
15 papers · 0 benchmarks
PTB-TIR is a Thermal InfraRed (TIR) pedestrian tracking benchmark, which provides 60 TIR sequences with mannuly annoations.
9 papers · 0 benchmarks
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
PeopleSansPeople (PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision)
In recent years, person detection and human pose estimation have made great strides, helped by large-scale labeled datasets.
4 papers · 0 benchmarks
A large-scale video portrait dataset that contains 291 videos from 23 conference scenes with 14K frames.
3 papers · 0 benchmarks
SoccerNet-GSR (SoccerNet Game State Reconstruction)
The SoccerNet Game State Reconstruction task is a novel high level computer vision task that is specific to sports analytics.
3 papers · 0 benchmarks
C2A: Human Detection in Disaster Scenarios (Combination to Application)
C2A: Combination to Application Dataset Overview This repository contains the code and information for the paper "UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster…
2 papers · 1 benchmark
A dataset to encourage research in these environments.
1 paper · 0 benchmarks
This dataset is an extremely challenging set of over 3000+ original Crowd images captured and crowdsourced from over 300+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at…
0 papers · 0 benchmarks
This dataset consists of 600+ items of faces with different emotions and mixed races that are ready to use for optimizing the accuracy of computer vision models.
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.