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Pedestrian Detection datasets
archive 2025-07-28
17 datasets carry the task tag "Pedestrian Detection" (the task itself: Pedestrian Detection), 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
Pedestrian Detection datasets 1–17 of 17
The CityPersons dataset is a subset of Cityscapes which only consists of person annotations.
129 papers · 2 benchmarks
LLVIP (A Visible-infrared Paired Dataset for Low-light Vision)
Visible-infrared Paired Dataset for Low-light Vision 30976 images (15488 pairs) 24 dark scenes, 2 daytime scenes Support for image-to-image translation (visible to infrared, or infrared to visible), visible and infrared image fusion,…
116 papers · 6 benchmarks
PRW (Person Re-identification in the Wild)
PRW is a large-scale dataset for end-to-end pedestrian detection and person recognition in raw video frames.
77 papers · 1 benchmark
ETH is a dataset for pedestrian detection.
58 papers · 3 benchmarks
The INRIA Person dataset is a dataset of images of persons used for pedestrian detection.
24 papers · 0 benchmarks
A novel dataset for traffic accidents analysis.
14 papers · 0 benchmarks
TJU-DHD is a high-resolution dataset for object detection and pedestrian detection.
12 papers · 2 benchmarks
The EuroCity Persons dataset provides a large number of highly diverse, accurate and detailed annotations of pedestrians, cyclists and other riders in urban traffic scenes.
6 papers · 0 benchmarks
The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment.
3 papers · 1 benchmark
The RailEye3D dataset, a collection of train-platform scenarios for applications targeting passenger safety and automation of train dispatching, consists of 10 image sequences captured at 6 railway stations in Austria.
3 papers · 0 benchmarks
BGVP (BG Vulnerable Pedestrian)
BG Vulnerable Pedestrian (BGVP) is a dataset to help train well-rounded models and thus induce research to increase the efficacy of vulnerable pedestrian detection.
2 papers · 0 benchmarks
UofTPed50 is an object detection and tracking dataset which uses GPS to ground truth the position and velocity of a pedestrian.
2 papers · 0 benchmarks
MMPD Dataset is proposed in ECCV'2024 "When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset".
1 paper · 1 benchmark
A dataset to encourage research in these environments.
1 paper · 0 benchmarks
SynoClip Dataset The SynoClip dataset is a comprehensive and standard dataset specifically designed for the video synopsis task.
1 paper · 0 benchmarks
Virtual-PedCross-4667 is a dataset for pedestrian crossing prediction.
1 paper · 0 benchmarks
We introduce the KAIST multi-spectral dataset, which covers a greater range of drivable regions, from urban to residential, for autonomous systems.
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.