Stairwell Public Passage Occupancy Image Recognition Dataset
#object detection #image classification #behavior recognition #safety monitoring #intelligent security #building management
- Records
- 500 records
- Size
- 1.5G
- Format
- JPG
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
In modern urban buildings, stairwells are often cluttered with miscellaneous items, which not only violates regulations but also hinders evacuation and the use of firefighting equipment in emergencies. Traditional methods relying on human patrols are infrequent and cannot provide real-time alerts. Camera-based solutions still require significant optimization for recognition accuracy and false alarm issues. This dataset focuses on improving the efficiency and accuracy of automatic recognition of stairwell public passage occupancy. Data is collected through high-definition cameras installed at various angles in stairwells, covering all lighting conditions. To ensure annotation quality, a multi-round annotation, consistency check, and expert review process is employed. Team members have backgrounds in image processing and safety management, with a scale of 20 people. Data preprocessing includes denoising, brightness correction, and target frame annotation, and is finally stored in JPG format, organized by time and floor.
Overview
Dataset Insights
Preview
Sample Examples
6cc3c72f**.jpg|1080*1407|203.13 KB
1af4238e**.jpg|1080*1360|248.31 KB
4817d053**.jpg|960*1098|198.94 KB
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| obstruction_type | string | Identifies the type of obstruction in the public corridor in the stairwell. |
| object_count | int | The number of objects occupying the public corridor in the stairwell in the image. |
| obstruction_area | float | The total area occupied by objects in the stairwell public corridor, measured in square units. |
| is_hazardous | boolean | Whether the obstruction in the image constitutes a safety hazard. |
| obstruction_color | string | The predominant color of the obstruction. |
| light_conditions | string | The lighting conditions at the time the image was captured. |
| image_clarity | float | The clarity or quality score of the resolution of the image. |
| obstruction_height | float | The average height of the obstruction, measured in meters. |
Trust
Compliance Statement
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
FAQ
Frequently Asked Questions
- What is the Stairwell Public Access Occupancy Image Recognition Dataset?
- It is an image dataset designed to detect obstacles in stairwells and public passages to enhance object detection capabilities in the security sector.
- What are the application scenarios for the Stairwell Public Access Occupancy Image Recognition Dataset?
- The dataset is mainly used in the security protection field, particularly for monitoring the accessibility of emergency pathways and identifying potential safety hazards.
- How does this dataset help improve security protection capabilities?
- By using this dataset to train models, it becomes more effective at detecting and recognizing occupancy situations in stairwells and public passages, thereby increasing the response speed and accuracy of security measures.
- What types of images are included in the Stairwell Public Access Occupancy Image Recognition Dataset?
- The dataset includes various images of stairwells and public passages, which may contain obstacles or occupancy situations.
- What technical requirements should be considered when using this dataset?
- When using this dataset for model training, consider factors such as image resolution, lighting conditions, and whether different types of obstacles need to be classified.
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Cite this Work
@dataset{Mobiusi2026,
title={Stairwell Public Passage Occupancy Image Recognition Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7dc358b666f9ffe03b4264c4c3f6e766?dataset_scene_cate_type=1},
urldate={2026-02-04},
keywords={stairwell occupancy detection, public passage safety monitoring, safety protection image recognition},
version={1.0}
}Using this in research? Please cite us.
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