Bus Accident Scene Dataset

#target detection #scene recognition #traffic safety #accident analysis #intelligent transportation systems
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-06-18

AI Analysis & Value Prop

The current transportation industry faces a growing issue of bus accidents, with frequent occurrences leading to reduced traffic efficiency and casualties. Existing solutions mainly rely on manual inspections and traditional monitoring methods, but due to insufficient data and inaccurate labeling, their effectiveness is limited. This dataset aims to enhance the accuracy and robustness of target detection algorithms by providing high-quality images of bus accident scenes. The specific structure of the dataset includes carefully selected bus accident images, annotated with bounding boxes and category labels. Data collection was carried out using professional camera equipment in busy urban traffic areas, ensuring diversity and fidelity to real scenes. To ensure data quality, we implemented multiple rounds of labeling and expert review mechanisms to ensure label consistency and accuracy. The data is stored in JPEG format, organized by category and scene for ease of subsequent use and processing.

Dataset Insights

Sample Examples

65d8b569**.jpg|4095*2633|1.81 MB

fbca6843**.jpg|1920*2560|502.42 KB

170bace4**.jpg|1080*2067|261.77 KB

d846a373**.jpg|1180*672|137.92 KB

f6f9c71b**.jpg|1080*2094|198.55 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
vehicle_typestringThe type of vehicles involved in the scene, such as bus, car, truck, etc.
weather_conditionstringThe weather conditions at the time of capturing the accident scene, such as sunny, rainy, snowy, etc.
road_conditionstringThe condition of the road in the accident scene, such as slippery, dry, icy, etc.
lighting_conditionstringThe lighting conditions at the time of the accident, such as daytime, nighttime, dawn.
damage_extentstringThe extent of damage to buses and other vehicles in the accident, such as minor, moderate, severe.
number_of_peopleintegerThe number of people involved in the accident scene.
collision_typestringThe type of collision in the accident, such as side collision, rear-end, head-on, etc.
vehicle_colorstringThe color of vehicles in the accident scene.
visibility_distancestringThe visibility range at the time of capturing the accident scene, such as clear, blurry, severely limited.
location_descriptionstringA detailed description of the accident scene location, such as intersection, highway, residential area, etc.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Bus Accident Scene Dataset?
The Bus Accident Scene Dataset is an object detection dataset that includes images related to bus accidents, aiming to improve the efficiency of traffic safety research.
What applications can use the Bus Accident Scene Dataset?
This dataset can be used for research and development of technologies and applications related to traffic safety, especially in detecting and analyzing bus accidents.
Why is the Bus Accident Scene Dataset important for the transportation sector?
The bus accident dataset helps identify accident patterns and enhances public safety measures by analyzing image data to reduce the occurrence of accidents.
What is an object detection dataset?
An object detection dataset is used to train and test computer vision models, assisting these models in recognizing and locating various targets within images.
How can the Bus Accident Scene Dataset be used to enhance traffic safety research?
By utilizing this dataset, researchers can develop more accurate models to detect bus accidents, thereby improving response time to incidents and reducing the frequency of such accidents.

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Cite this Work

@dataset{Mobiusi2025,
  title={Bus Accident Scene Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/9ec7327e50c4fe347c3cb52cc4d0ae78},
  urldate={2025-09-15},
  keywords={bus accident dataset, traffic target detection, intelligent traffic data, accident analysis data, target detection dataset},
  version={1.0}
}

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