Vehicle and Motorcycle Collision Recognition Dataset
#object detection #image recognition #intelligent transportation #safety monitoring #accident analysis
- 20000 records
- 5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-25
AI Analysis & Value Prop
The current transportation industry faces challenges of safety hazards and frequent accidents in vehicle and motorcycle collision recognition. Existing monitoring systems often rely on manual review, which is inefficient and prone to errors, making it difficult to achieve real-time response. To better address this issue, this dataset aims to provide high-quality collision recognition data to support the training and enhancement of intelligent algorithms, helping achieve automated monitoring and accident warning. The dataset contains a large number of vehicle and motorcycle collision images in various scenarios, captured with high-precision cameras in busy urban traffic to ensure diversity and real scene reproduction. In terms of quality control, the data has undergone multiple rounds of labeling and consistency checks to ensure the accuracy and completeness of annotations. All data is stored in JPG format and organized into a folder structure for ease of use.
Dataset Insights
Sample Examples
ce07ceae**.jpg|2048*1536|313.42 KB
f2306199**.jpg|3024*4032|2.38 MB
a4bb0778**.jpg|2048*1536|604.74 KB
16d50f7e**.jpg|2048*1536|521.17 KB
529dd878**.jpg|2560*1920|885.71 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vehicle_type | string | Identify the type of vehicle involved in the image, such as sedan, SUV, truck, etc. |
| motorcycle_presence | boolean | Indicates whether a motorcycle is present in the image, true if present, false if not. |
| collision_severity | string | Visually assessed collision severity: light, moderate, severe. |
| weather_conditions | string | Identifiable weather conditions in the image, such as sunny, rainy, snowy, etc. |
| road_conditions | string | Information about the road conditions in the image, such as dry, slippery, icy, etc. |
| lighting_conditions | string | Identification of lighting conditions in the image, including daytime, nighttime, low light, etc. |
| collision_point_location | string | Approximate location of the collision point on the vehicle or motorcycle, such as front, side, rear. |
| number_of_vehicles | integer | Total number of vehicles identified in the image. |
| license_plate_visibility | boolean | Indicates whether license plates are visible in the image, true if visible, false if not. |
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 is the main purpose of the Vehicle and Motorcycle Collision Detection Dataset?
- The dataset is mainly used for identifying and detecting collision events between vehicles and motorcycles in traffic scenes, advancing intelligent transportation and safety monitoring technologies.
- What types of images does this dataset contain?
- The dataset contains images that primarily include various scenes of collisions between vehicles and motorcycles, as well as the related traffic environment.
- How can the Vehicle and Motorcycle Collision Detection Dataset be used for intelligent transportation research?
- Researchers can use the dataset to train object detection models, enhancing the safety monitoring capabilities of traffic systems and enabling quick identification and handling of traffic accidents.
- What kind of AI applications is the Vehicle and Motorcycle Collision Detection Dataset suitable for?
- The dataset is suitable for developing and testing autonomous vehicles, traffic monitoring systems, and other intelligent applications that require real-time identification of traffic accidents.
- What are the potential challenges of using this dataset?
- Using this dataset for research may present challenges such as handling various angles and complex traffic scenes, requiring advanced algorithms to accurately identify collision events.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Vehicle and Motorcycle Collision Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/9b95afe9e4f1f0aa4251344149fbc672},
urldate={2025-09-15},
keywords={vehicle collision recognition, motorcycle detection dataset, object detection dataset, traffic safety, intelligent transportation},
version={1.0}
}Using this in research? Please cite us.
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