Nighttime Accident Scene Classification Dataset
#image classification #scene recognition #deep learning training #traffic monitoring #accident analysis #intelligent traffic #safety warning
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-01-06
AI Analysis & Value Prop
The current traffic industry faces an increase in night driving safety hazards, with many accidents difficult to monitor and analyze in a timely manner. Existing monitoring systems lack the capability to process nighttime images effectively, making it hard to identify accidents and hazardous scenarios. This dataset aims to improve the accuracy of image classification algorithms by providing high-quality nighttime accident scene images, meeting the demands of intelligent traffic systems for nighttime monitoring. Data collection is performed using professional night vision cameras in various urban road environments, ensuring diversity in lighting and weather conditions. To guarantee data quality, the dataset uses multiple rounds of annotation and expert review to ensure consistency and accuracy in image labeling. The data is stored in JPEG format and organized by image ID and label for convenient usage and retrieval.
Dataset Insights
Sample Examples
c4100fea**.jpg|1920*2560|860.17 KB
b46ac71b**.jpg|4000*3000|1.82 MB
f7b8c908**.jpg|4000*3000|1.22 MB
6d6434c7**.jpg|3024*4032|1.19 MB
f6e53134**.jpg|3024*4032|1.20 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| scene_type | string | The specific scene type of the accident occurring in the image, such as vehicle collision, rollover, etc. |
| lighting_condition | string | The lighting condition of the scene captured in the image, such as street lighting, headlight illumination, etc. |
| weather_condition | string | The weather condition at the time the image was captured, such as clear, rainy, foggy, etc. |
| number_of_vehicles | integer | The number of vehicles involved in the accident depicted in the image. |
| vehicle_make_model | string | The make and model of the vehicles appearing in the image. |
| accident_severity | string | The severity of the accident based on visible damage and potential injuries in the image. |
| emergency_services_presence | boolean | Whether the image shows the presence of emergency services (e.g., ambulances, fire engines) at the scene. |
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 |
Frequently Asked Questions
- What is the Night-time Accident Scene Classification Dataset?
- The Night-time Accident Scene Classification Dataset is a dataset focused on image classification of traffic accident scenes at night, aimed at improving the accuracy of traffic safety monitoring and analysis.
- How is the dataset applied in the field of traffic safety?
- The dataset provides night-time traffic accident images that can be used to train and test machine learning models, thereby improving the detection and classification of night-time accidents and enhancing traffic safety management.
- What types of images are typically included in night-time accident scenes?
- Images of night-time accident scenes typically include vehicle collisions, road closures, traffic congestion, and emergency vehicle response.
- What should be considered when using the Night-time Accident Scene Classification Dataset?
- When using this dataset, it is important to consider that low-light conditions in the images may affect classification performance, and the model should be well-trained to handle variations in night-time scenes.
- Who are the typical users of this dataset?
- Typical users of this dataset include urban traffic management departments, autonomous vehicle development teams, and traffic safety researchers.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Nighttime Accident Scene Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/bd06987075ef1a600564a21fca7affe9},
urldate={2025-09-15},
keywords={nighttime accident, traffic monitoring dataset, image classification, intelligent traffic},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder