Datasets › GMVD

GMVD (Generalized Multi-View Detection Dataset)

Introduced by Jeet Vora et al. in Bringing Generalization to Deep Multi-View Pedestrian Detection24 Sep 2021 archive 2025-07-28

The GMVD dataset consists of synthetic scenes captured using the GTA-V and Unity graphics engines. The dataset covers a variety of scenes, along with different conditions including day time variations (morning, afternoon, evening, night) and weather variations (sunny, cloudy, rainy, snowy). The purpose of the dataset is twofold. The first is to benchmark the generalization capabilities of Multi-View Detection algorithms. The second purpose is to serve as a synthetic training source from which the trained models can be directly applied on real-world data.

Benchmarks archive 2025-07-28

All 1 leaderboard 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
Multiview Detection GMVD MVFP MODA 73.3 Enhancing Multi-View Pedestrian Detection Through... — 2 Compare

Papers archive 2025-07-28

2 shown of 2 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 5. 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
Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling 0 1 20 Dec 2023 not harvested
Bringing Generalization to Deep Multi-View Pedestrian Detection 1 1 24 Sep 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-NC 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • GMVD

1 variant name, as the archive lists them.

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