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CityPersons

Introduced by Shanshan Zhang et al. in CityPersons: A Diverse Dataset for Pedestrian Detection1 Jan 2017 archive 2025-07-28

The CityPersons dataset is a subset of Cityscapes which only consists of person annotations. There are 2975 images for training, 500 and 1575 images for validation and testing. The average of the number of pedestrians in an image is 7. The visible-region and full-body annotations are provided.

Source: NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing Image Source: https://github.com/CharlesShang/Detectron-PYTORCH/tree/master/data/citypersons

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Pedestrian Detection CityPersons DIW Loss Reasonable MR^-2 6.23 Increasing pedestrian detection performance through... — 22 Compare
Object Detection CityPersons V2F-Net mMR 10.08 V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection — 1 Compare

Papers archive 2025-07-28

18 shown of 18 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 129. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision 1 1 6 Apr 2023 ran 1 of 4 samples (3 unverified)
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks 4 1 30 Mar 2023 ran 1 of 2 samples (1 unverified; 1 pointer-only for licence)
Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving 0 2 1 Jan 2023 not harvested
Increasing pedestrian detection performance through weighting of detection impairing factors 0 1 8 Dec 2022 not harvested
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective 0 1 23 Oct 2022 not harvested
F2DNet: Fast Focal Detection Network for Pedestrian Detection 2 2 4 Mar 2022 not harvested
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection 1 1 4 Jun 2021 not harvested
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection 0 1 7 Apr 2021 not harvested
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination 1 1 27 Jul 2020 not harvested
Generalizable Pedestrian Detection: The Elephant In The Room 1 1 19 Mar 2020 not harvested
Adapted Center and Scale Prediction: More Stable and More Accurate 1 2 20 Feb 2020 not harvested
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection 2 1 5 Apr 2019 not harvested
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting 1 1 1 Sep 2018 not harvested
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd 0 1 23 Jul 2018 not harvested
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation 0 2 4 Jul 2018 not harvested
CrowdHuman: A Benchmark for Detecting Human in a Crowd 1 1 30 Apr 2018 not harvested
Repulsion Loss: Detecting Pedestrians in a Crowd 2 1 21 Nov 2017 not harvested
CityPersons: A Diverse Dataset for Pedestrian Detection 2 2 19 Feb 2017 not harvested

Dataset loaders archive 2025-07-28

CharlesShang/Detectron-PYTORCH

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Object DetectionPedestrian Detection

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CityPersons

1 variant name, as the archive lists them.

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