Subway Entrance Safety Monitoring Dataset
#target detection #behavior recognition #safety monitoring #urban traffic management #pedestrian flow monitoring
- Records
- 15000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
With the acceleration of urbanization, traffic safety issues are becoming increasingly prominent, especially in densely populated areas like subway entrances, where safety monitoring demand is urgent. However, current monitoring systems often face issues such as insufficient target detection accuracy and poor real-time performance. This dataset aims to provide high-quality image data to support the development and optimization of target detection algorithms. The dataset contains monitoring images from various scenarios, covering different time periods and lighting conditions. Data collection uses high-resolution surveillance cameras in real environments like subway entrances to ensure the data is real and effective. For data quality control, we employ multiple rounds of annotation and expert review mechanisms to ensure annotation consistency and accuracy. The data is stored in JPEG format for quick reading and processing.
Overview
Dataset Insights
Preview
Sample Examples
91a5b2ab**.jpg|1280*769|183.12 KB
4616e9f6**.jpg|1154*1538|228.26 KB
2c90f001**.jpg|1280*720|149.45 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The type of objects to be detected and classified in the image, such as individuals, checked luggage, equipment, etc. |
| bounding_box | string | The coordinates of the bounding box for the detected object, usually represented by four values: x_min, y_min, x_max, y_max. |
| detection_confidence | float | The confidence score of the detected object, indicating the likelihood that the object is correctly detected. |
| camera_angle | string | The angle information of the camera when capturing the image, such as top-down, bottom-up, horizontal perspective, etc. |
| lighting_condition | string | The lighting condition at the time the image was taken, such as daytime, nighttime, overcast, etc. |
| crowd_density | string | The level of crowd density near the entrance or exit, such as low, medium, high. |
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 use of the Subway Entrance Safety Monitoring Dataset?
- This dataset is used for safety monitoring at subway entrances, helping to improve the efficiency of traffic safety management.
- What kind of image data does the Subway Entrance Safety Monitoring Dataset include?
- The dataset contains surveillance images for detecting subway entrances, suitable for object detection tasks.
- How can the Subway Entrance Safety Monitoring Dataset be used for object detection?
- The images in this dataset can be used for object detection to help identify and monitor foot traffic at subway entrances.
- How does the Subway Entrance Safety Monitoring Dataset help research in the transportation field?
- This dataset provides high-quality visual data support, aiding research in enhancing safety monitoring in the transportation field.
- Can the Subway Entrance Safety Monitoring Dataset be applied to other fields?
- Although this dataset is specifically designed for subway safety monitoring, the methodologies can be extended to other fields that require surveillance.
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Cite this Work
@dataset{Mobiusi2025,
title={Subway Entrance Safety Monitoring Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/72e30f888045198c531e55c5011210db?dataset_scene_id=1},
urldate={2025-09-15},
keywords={subway safety monitoring, target detection dataset, traffic monitoring data},
version={1.0}
}Using this in research? Please cite us.
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