Datasets › HPS
HPS (Human POSEitioning System Dataset)
HPS Dataset is a collection of 3D humans interacting with large 3D scenes (300-1000 m², up to 2500 m²). The dataset contains images captured from a head-mounted camera coupled with the reference 3D pose and location of the person in a pre-scanned 3D scene. 7 people in 8 large scenes are captured performing activities such as exercising, reading, eating, lecturing, using a computer, making coffee, dancing. The dataset provides more than 300K synchronized RGB images coupled with the reference 3D pose and location.
The dataset can be used as a testbed for ego-centric tracking with scene constraints, to learn how humans interact and move within large scenes over long periods of time, and to learn how humans process visual input arriving at their eyes.
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 23 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- HPS
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections