Dataset · Hugging Face

simplexsigil2/omnifall

Name: omnifall
Creator: simplexsigil2
License: cc-by-nc-4.0
Keywords: task_categories:video-classification, language:en, license:cc-by-nc-4.0, size_categories:1M<n<10M, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2505.19889, region:us, medical, fall-detection

OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection OmniFall is a comprehensive fall detection benchmark with dense temporal segment annotations across three components: OF-Staged (8 public lab datasets), OF-In-the-Wild (genuine accidents from OOPS), and OF-Synthetic (12,000 diffusion-generated videos with demographic diversity). All components share a sixteen-class activity taxonomy. [Paper] [Project Page] Quickstart… See the full description on the dataset page: https://huggingface.co/datasets/simplexsigil2/omnifall.

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Author / organization	simplexsigil2
License (as declared)	cc-by-nc-4.0
Downloads	3.2K (as reported by Hugging Face)
Likes	10
Created	15 May 2025
Last updated at source	27 August 2026

medicalfall-detectionactivity-recognitionsynthetic

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