ForeHOI: Human-Object Interaction Forecasting Dataset

ForeHOI is a dataset for forecasting human-object interactions, introduced in a paper published on arXiv. The dataset is associated with a project page and a GitHub repository containing example code for data usage. It was uploaded by YuantaoChen and last updated on March 6, 2026.

Use Cases

• Train models for forecasting future human-object interactions based on video sequences.
• Benchmark action anticipation algorithms using the described interaction data.
• Develop computer vision systems for understanding human activity in dynamic scenes.

Strengths

• Associated with a published research paper on arXiv (2602.06226), indicating academic validation.
• Provides a dedicated project website and GitHub repository with example code for data loading.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or source bias inherent to the specific research project.

Provenance

Source

YuantaoChen

Freshness

Last updated 2026-03-06 11:17:04; freshness should be verified.