Road Traffic Accident Scene Recognition Dataset
#object detection #scene recognition #traffic safety #accident analysis #intelligent transportation
- 5000 records
- 1.0G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-15
AI Analysis & Value Prop
The current transportation industry faces serious traffic accident problems, leading to injuries and property damage. Many existing traffic accident analysis systems rely on manual data collection, which is inefficient and prone to errors. Moreover, existing datasets often lack diversity and cannot fully reflect the complex scenarios of accidents. Therefore, constructing a high-quality road traffic accident scene recognition dataset can effectively improve the accuracy and efficiency of accident recognition. This dataset, collected through high-quality images combined with accident scenes in actual traffic environments, aims to provide reliable data support for traffic safety research and the development of intelligent transportation systems. Data collection uses high-resolution cameras in different environments such as urban roads and highways, ensuring coverage of various weather and lighting conditions. During data annotation, a multi-round annotation and expert review approach is taken to ensure the accuracy and consistency of annotations. The final data is stored in JPEG format, organized into structured folders for subsequent analysis and use.
Dataset Insights
Sample Examples
1cf6e697**.jpg|2009*1279|813.65 KB
aa3fc7a2**.jpg|1920*2560|943.10 KB
b3d8f09d**.jpg|1705*1279|1.15 MB
7a1548b7**.jpg|1280*1707|1.16 MB
01035205**.jpg|2280*1280|1.06 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| accident_type | string | Type of traffic accident identified from the content of the image, such as rear-end, rollover, etc. |
| vehicle_count | integer | The number of vehicles that can be identified in the image. |
| pedestrian_count | integer | The number of pedestrians identifiable in the image. |
| weather_conditions | string | The weather conditions reflected in the image, such as sunny, rainy, etc. |
| time_of_day | string | The time of day reflected in the image, such as daytime, nighttime, etc. |
| road_type | string | The type of road that can be identified in the image, such as highway, urban street, etc. |
| road_conditions | string | The road conditions depicted in the image, such as intact, damaged, etc. |
| traffic_signals | string | Traffic signal information visible in the image. |
| incident_severity | string | Severity of the incident deduced from image analysis, such as minor, severe, etc. |
| lane_count | integer | The number of lanes on the road as shown in the image. |
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 applications can this dataset be used for?
- The Road Traffic Accident Scene Recognition Dataset can be used for the development of intelligent transportation systems, traffic accident analysis, and autonomous driving research.
- What types of images does this dataset include?
- The dataset includes images depicting various road traffic accident scenes, such as crash sites, traffic congestion, and accident scenes under different weather conditions.
- What technological breakthroughs can be achieved using this dataset?
- The dataset can facilitate precise recognition and analysis of traffic accidents, enhancing road safety and optimizing traffic management systems.
- How does the dataset aid in the development of intelligent transportation systems?
- By providing a large number of real-world scene images, the dataset helps train and optimize object detection algorithms in intelligent transportation systems, enhancing their responsiveness to accident scenarios.
- Which research fields can benefit from this dataset?
- Fields like traffic safety research, autonomous driving technology development, urban planning, and traffic management can benefit from this dataset.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Road Traffic Accident Scene Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/6b06aad51c875142b77adb91a08ebdcf},
urldate={2025-09-15},
keywords={traffic accident dataset, object detection, intelligent transportation, road safety, accident recognition},
version={1.0}
}Using this in research? Please cite us.
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