Road Motorcycle Traffic Accident Scene Image Dataset
#Object Detection #Image Segmentation #Traffic Safety Monitoring #Accident Analysis #Intelligent Transportation Systems
- 5000 records
- 1.8G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-19
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
14176c5a**.jpg|2048*1536|313.42 KB
f5594949**.jpg|3024*4032|2.38 MB
e7e92dd2**.jpg|2048*1536|521.17 KB
c3137a04**.jpg|2560*1920|885.71 KB
8e736f75**.jpg|1280*1706|519.60 KB
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 | 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 research areas is this dataset mainly used for?
- The Road Motorcycle Traffic Accident Scene Image Dataset is mainly used for traffic accident analysis, object detection, and advanced driver-assistance system development.
- What is the modality of the dataset?
- The modality of the dataset is images, containing actual scenes of motorcycle traffic accidents.
- How can this dataset be applied in research?
- This dataset can be used to train and test object detection algorithms to identify motorcycles and related elements in traffic accidents, providing data support for accident analysis.
- What is an object detection dataset?
- An object detection dataset is a collection of data used to identify and locate objects within images or videos, often used for training and validating machine learning models.
- Is this dataset suitable for training deep learning models?
- Yes, this dataset is suitable for training deep learning models to improve the accuracy of object detection in motorcycle accident scenes.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Road Motorcycle Traffic Accident Scene Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/53554e5736e511cbcee2cd1cf1770129},
urldate={2025-09-15},
keywords={Traffic Accident Dataset, Motorcycle Accident Detection, Object Detection Dataset, Traffic Safety},
version={1.0}
}Using this in research? Please cite us.
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