Datasets › MannequinChallenge

MannequinChallenge

Introduced by Zhengqi Li et al. in Learning the Depths of Moving People by Watching Frozen People1 Jan 2019 archive 2025-07-28

The MannequinChallenge Dataset (MQC) provides in-the-wild videos of people in static poses while a hand-held camera pans around the scene. The dataset consists of three splits for training, validation and testing.

Source: Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild Image Source: https://google.github.io/mannequinchallenge/www/index.html

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 28 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Pose Estimation Depth Estimation Monocular Depth Estimation

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Images Videos

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

MannequinChallenge

1 variant name, as the archive lists them.

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