Truck Inclination Structure Anomaly Detection Dataset
#Anomaly detection #pattern recognition #video analysis #Traffic safety monitoring #accident prevention #vehicle management
- 500 records
- 1.1G
- MP4/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-11
AI Analysis & Value Prop
The current transportation industry faces increasingly serious safety hazards with trucks, especially with higher risks of accidents caused by offloading and unstable centers of gravity. Existing detection methods mostly rely on manual inspections, which are inefficient and prone to missed and false detections. This dataset aims to address the real-time detection needs of offloading and structural anomalies through automated analysis of video data, thereby enhancing the efficiency of traffic safety management. The dataset includes vehicle videos collected under various environments, collected using high-definition cameras under actual road conditions to ensure data authenticity and diversity. In terms of quality control, the data undergoes multiple rounds of annotation and expert review to ensure annotation consistency and accuracy. For data organization, video files are classified and stored according to event type and timestamp to facilitate subsequent analysis and processing.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
Compliance Statement
| 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 |
Frequently Asked Questions
- What are the application scenarios of the Truck Tilt Structural Anomaly Detection Dataset?
- This dataset can be used in transportation monitoring systems, traffic safety management, and autonomous driving technology to help identify and prevent truck tilt anomalies, reducing accident risks.
- How can the Truck Tilt Structural Anomaly Detection Dataset be used to improve road safety?
- By training AI models to detect tilt anomalies in videos, preemptive warnings can be issued and measures can be taken to prevent potential traffic accidents.
- What is the primary data source for the Truck Tilt Structural Anomaly Detection Dataset?
- The dataset primarily consists of video data captured during truck operations, aiming to detect and analyze structural tilt anomalies.
- What are the challenges in detecting truck tilt structural anomalies in videos?
- Challenges include varying lighting conditions, changes in camera angles, and the ability to distinguish against complex background environments.
- How does this dataset play a role in autonomous driving technology?
- It aids autonomous driving systems by enabling real-time monitoring and handling of truck tilt anomalies, thus enhancing driving safety and stability.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Truck Inclination Structure Anomaly Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/3737b2696997d0d2cf6aaa696cbd1bc4?cate=4},
urldate={2025-09-15},
keywords={Truck anomaly detection, traffic safety dataset, event detection, video analysis},
version={1.0}
}Using this in research? Please cite us.
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