Datasets › HOI4D

HOI4D

Introduced by Yunze Liu et al. in HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction3 Mar 2022 archive 2025-07-28

A large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction. HOI4D consists of 2.4M RGB-D egOCentric video frames over 4000 sequences collected by 4 participants interacting with 800 different object instances from 16 categories over 610 different indoor rooms.

Homepage JSON

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

No loader listed in the archive.

Tasks archive 2025-07-28

Semantic Segmentation Panoptic Segmentation Pose Tracking Action Segmentation Human-Object Interaction Detection Motion Segmentation

License archive 2025-07-28

CC BY-NC 4.0

Modalities archive 2025-07-28

Videos

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

HOI4D

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