Datasets › H²O Interaction

H²O Interaction (Human-to-Human-or-Object Interaction)

13 Dec 2021 archive 2025-07-28

H²O is an image dataset annotated for Human-to-human-or-object interaction detection. H²O is composed of the images from V-COCO dataset to which are added images which mostly contain interactions between people. The dataset has been introduced in this paper: Orcesi, A., Audigier, R., Toukam, F. P., & Luvison, B. (2021, December). Detecting Human-to-Human-or-Object (H 2 O) Interactions with DIABOLO. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (pp. 1-8). IEEE. The annotations were made with Pixano, an opensource, smart annotation tool for computer vision applications: https://pixano.cea.fr/

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.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Creative Commons Attribution Non Commercial 4.0 license

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • H²O Interaction

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