Traffic Light Failure and Anomaly Detection Dataset
#Anomaly Detection #Event Detection #Video Analysis #Traffic Monitoring #Intelligent Traffic Systems #Urban Management
- Records
- 500 records
- Size
- 1.3G
- Format
- MP4/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current transportation industry faces challenges in identifying failures and abnormal states of traffic lights. Traditional monitoring methods are difficult to detect signal light status in real-time and accurately, leading to frequent traffic accidents. Existing solutions mostly rely on manual inspection, which is inefficient and prone to errors. This dataset aims to automatically identify abnormal states such as traffic light outages, prolonged flashing, and conflicting signals through video analysis technology, thereby enhancing traffic safety and management efficiency. Data collection is conducted using high-definition cameras at traffic intersections in different cities, recording continuously for 24 hours to ensure diverse scenes and conditions. For quality control, multiple rounds of annotation and consistency checks are employed to ensure accuracy and completeness of the annotations. The data is stored in MP4 format, facilitating large-scale data processing and analysis.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
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 Traffic Light Fault and Anomaly Detection Dataset?
- The Traffic Light Fault and Anomaly Detection Dataset is a video dataset designed to identify abnormal conditions of traffic signals, providing support for traffic monitoring.
- What are the main applications of the Traffic Light Fault and Anomaly Detection Dataset?
- This dataset can be used in traffic management systems to detect and identify faults and anomalies in traffic signals, thus enhancing traffic safety and management efficiency.
- What type of data does the Traffic Light Fault and Anomaly Detection Dataset include?
- The dataset mainly includes video modality data, focusing on recording and analyzing the state of traffic signals.
- How can the Traffic Light Fault and Anomaly Detection Dataset enhance traffic monitoring capabilities?
- By employing machine learning and computer vision techniques, this dataset can be used to train models that improve real-time monitoring of abnormal traffic signal conditions.
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Cite this Work
@dataset{Mobiusi2025,
title={Traffic Light Failure and Anomaly Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/33e952f22cbb0d5578221cbd8083d96b?dataset_scene_id=1},
urldate={2025-09-15},
keywords={traffic light anomaly detection, traffic event detection dataset, intelligent traffic video data, traffic light failure identification},
version={1.0}
}Using this in research? Please cite us.
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