MOBIUSI INC| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| scene_type | string | The type of scene depicted in the video, such as laboratory or outdoor. |
| action_recognition | string | The main actions in the video that need to be recognized, such as mixing, pouring, stirring, etc. |
| object_count | integer | The number of different objects present in the video. |
| primary_object | string | The main object of focus in the video, such as beaker, test tube, etc. |
| video_quality | string | The quality rating of the video, such as high definition or standard definition. |
| light_condition | string | The lighting conditions during the video capture, such as bright or dim. |
| camera_movement | string | The movement of the camera in the video, such as fixed or panning. |
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

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@dataset{Mobiusi2026,
title={First-Person Perspective Operational Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7379c40a5cd33b99b6e5c74d2342bec7?dataset_scene_id=20},
urldate={2026-02-04},
keywords={first-person perspective video dataset, video understanding, action recognition, research video, video annotation},
version={1.0}
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