Platform Safety Hazard Monitoring Dataset
#object detection #image recognition #safety monitoring #accident prevention #public transportation management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
The transportation industry faces many challenges in terms of public safety, especially regarding platform safety hazard monitoring. Existing monitoring methods are mostly manual inspections, which are inefficient and prone to omissions. By establishing this dataset, we aim to provide high-quality data support for object detection algorithms to improve automatic monitoring and early warning capabilities. The structure of the dataset includes image IDs, image paths, and their corresponding annotation information. Data collection is performed by high-resolution cameras in different platform environments to ensure diversity and representativeness. For quality control, multiple rounds of annotation and expert review mechanisms are employed to ensure consistency and accuracy of annotations. Data is stored in standard JPG format, making it easy for subsequent processing and analysis.
Dataset Insights
Sample Examples
c34604a2**.jpg|1920*2560|639.95 KB
907f013e**.jpg|1920*2560|548.46 KB
27707538**.jpg|1920*2560|1.20 MB
430c356c**.jpg|1920*2560|904.44 KB
3a8adf22**.jpg|1920*2560|461.04 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| hazard_type | string | Describes the type of safety hazard detected in the image. |
| hazard_location | string | Indicates the location of the hazard within the image. |
| hazard_severity | int | Rates the severity of the hazard, usually represented on a scale from 1 to 5. |
| object_count | int | Describes the number of safety hazard objects detected in the image. |
| detection_confidence | float | Describes the confidence score of the detected hazard, typically ranging from 0 to 1. |
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 |
Frequently Asked Questions
- What is the Platform Safety Hazard Monitoring Dataset?
- The Platform Safety Hazard Monitoring Dataset is focused on monitoring safety issues at public transport platforms, aimed at improving safety management efficiency.
- What modalities does this dataset include?
- This dataset includes the image modality, providing pictures of potential safety issues on platforms under various conditions.
- In which industry sector is this dataset primarily applied?
- This dataset is primarily applied in the transportation industry, especially in public transportation safety management.
- How does the Platform Safety Hazard Monitoring Dataset support object detection tasks?
- As an object detection dataset, it annotates potential safety hazards in platform environments to help detection systems automate safety monitoring.
- What are the potential advantages of using the Platform Safety Hazard Monitoring Dataset?
- Using this dataset can enhance the safety management level of public transportation, reduce the likelihood of safety incidents, and increase traffic management efficiency.
- How can the real-time monitoring capability of platform safety be enhanced?
- By using this dataset to train efficient object detection models, you can enhance the ability to monitor and analyze hazards in real-time on platforms.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Platform Safety Hazard Monitoring Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/73854746647913338ab4ae6f5bba80ea},
urldate={2025-09-15},
keywords={platform safety, hazard monitoring, object detection dataset, traffic safety, public transportation},
version={1.0}
}Using this in research? Please cite us.
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