wyzelabs/OpenHome
OpenHome: Can Video Models Understand What Really Happens on a Smart-Home Camera? OpenHome is a multiple-choice video QA benchmark built from real smart-home camera clips. The clips are short, fixed-viewpoint, often recorded at night or in infrared, and come with no narration or subtitles, so models must reason from sparse visual signals alone. The benchmark is organised into three levels that move from Perception through Reasoning to Insight: reading details of a subject… See the full description on the dataset page: https://huggingface.co/datasets/wyzelabs/OpenHome.
| Author / organization | wyzelabs |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 16 October 2026 |
| Last updated at source | 16 October 2026 |
Popularity, last 2 days
0 now. Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: none → OpenHome: Can Video Models Understand What Really Happens on a Smart-Home Camera? OpenHome is a multiple-choice video QA benchmark built from real smart-home camera clips. The clips are short, fixed-viewpoint, often recorded at night or in
- 16 Oct 2026 Topics added task_categories:video-text-to-text, task_categories:multiple-choice, video-understanding, smart-home, benchmark, video-qa
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.