Mobiusi/Road-Motorcycle-Traffic-Accident-Scene-Image-Dataset

Road Motorcycle Traffic Accident Scene Image Dataset

Traffic accidents are currently frequent, especially motorcycle accidents, seriously affecting road safety and traffic flow. Existing traffic monitoring systems have delays and insufficient accuracy in accident detection and analysis, lacking effective image data support. This dataset aims to provide high-quality image data for the automatic detection and analysis of traffic accidents, particularly images of motorcycle accident scenes. Data collection is conducted using professional surveillance cameras on main city roads to ensure coverage of major traffic flows. Quality control measures include multiple rounds of annotation, annotator consistency checks, and expert reviews to ensure the accuracy and consistency of annotations. The data storage format is JPEG, organized into folders by category for easy retrieval and use.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
accident_severity	string	Describes the severity of the accident, such as minor, moderate, or severe.
weather_conditions	string	Indicates the weather conditions at the time of the accident, such as clear, rainy, or snowy.
road_conditions	string	Describes the condition of the road surface, such as dry, slippery, or icy.
vehicle_count	integer	The total number of vehicles involved in the photo.
pedestrian_count	integer	The number of pedestrians appearing in the photo.
vehicle_types	string	Types of vehicles involved in the accident, such as motorcycles, cars, or trucks.
damage_extent	string	Records the extent of damage to the vehicles, such as light, moderate, or severe.
accident_cause	string	A description of the possible causes of the accident, such as speeding, drunk driving, or equipment failure.
emergency_response_time	string	The time taken for emergency services to arrive from the occurrence of the accident.
time_of_day	string	The period of time during which the accident occurred, such as daytime, dusk, or night.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com