MOBIUSI INCThis dataset contains images for recognizing personnel fall postures and monitoring safety behaviors, with fields such as image paths, annotation file paths, category IDs, image dimensions, and image formats to support image-annotation matching and data management. The sample count, category definitions, and collection environments should be verified against the supplied files and documentation. The data can support fall detection, safety behavior recognition, and visual monitoring model training and evaluation for applications such as elder care, workplace safety, and intelligent surveillance.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| image_id | string | Unique identifier for the image. |
| image_path | string | Path to the image file. |
| label_path | string | Path to the annotation file associated with the image. |
| category_id | array | Identifier for the image's assigned category. |
| image_width | number | Width of the image in pixels. |
| image_format | string | Format of the image file. |
| image_height | number | Height of the image in pixels. |
Trust
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
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={Personnel Fall Posture Recognition and Safety Behavior Visual Monitoring Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/c91e7841e21de70f0c814950d51c668b?dataset_scene_id=10},
urldate={2026-11-04},
keywords={personnel fall dataset,fall posture recognition,safety behavior monitoring,visual surveillance data,human pose dataset,fall detection training,intelligent security images,behavior recognition dataset},
version={1.0}
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