Bridge and Road Traffic Scene Classification Dataset
#Image Classification #Scene Recognition #Traffic Monitoring #Intelligent Transportation #Autonomous Driving
- 50000 records
- 5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
In the current transportation industry, traffic monitoring and management face growing challenges such as traffic congestion and frequent accidents. Existing solutions often rely on manual analysis, which is inefficient and error-prone. Therefore, the creation of a high-quality bridge and road traffic scene classification dataset aims to improve the efficiency of traffic management through automated technology. This dataset focuses on capturing various traffic scenes, such as bridges, roads, and traffic signals, and supports intelligent transportation systems. Data collection utilizes high-resolution cameras to capture images at different times and weather conditions, ensuring diversity and representativeness of the data. In terms of quality control, multiple rounds of labeling and expert reviews are used to ensure consistency and accuracy of annotations. Data is stored in JPEG format, organized by image ID, facilitating subsequent management and access.
Dataset Insights
Sample Examples
83b79d92**.jpg|3072*4096|1.50 MB
6c812d8e**.jpg|3072*4096|2.59 MB
0d4a90ae**.jpg|3072*4096|3.35 MB
7091b3a2**.jpg|3072*4096|2.41 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| scene_type | string | The category of the traffic scene in the image, such as highways, urban roads, rural roads, etc. |
| vehicle_count | integer | The total number of vehicles visible in the image. |
| weather_condition | string | The weather condition depicted in the image, such as sunny, rainy, snowy, etc. |
| time_of_day | string | The time of day when the image was taken, such as daytime, sunset, night, etc. |
| road_condition | string | The condition of the road depicted in the image, such as dry, slippery, icy, etc. |
| bridge_presence | boolean | Indicates whether there is a bridge present in the image. |
| lane_count | integer | The total number of lanes visible in the image. |
| traffic_signs_presence | boolean | Indicates whether there are traffic signs present in the image. |
| pedestrian_presence | boolean | Indicates whether there are pedestrians visible 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 types of traffic scenes are included in the Bridge and Road Traffic Scene Classification Dataset?
- The dataset includes various traffic scenes related to bridges and roads, such as congested overpasses, wide highways, and urban streets.
- How can the Bridge and Road Traffic Scene Classification Dataset be used to improve intelligent transportation systems?
- The dataset can be used to train machine learning models to improve recognition and classification capabilities of intelligent transportation systems in different traffic scenes, enhancing traffic management efficiency.
- What potential impact does this dataset have on the transport industry?
- By accurately classifying traffic scenes, this dataset helps optimize traffic flow management, reduce traffic congestion, and enhance road safety.
- For which machine learning tasks is the Bridge and Road Traffic Scene Classification Dataset suitable?
- This dataset is suitable for image classification, scene understanding, and autonomous driving system development tasks.
- What are the advantages of using this dataset in the field of traffic scene classification?
- Using this dataset helps improve the generalization ability and accuracy of image classification models in traffic scenes, enabling more efficient traffic monitoring and management.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Bridge and Road Traffic Scene Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/16b7eff581abddb42910f65744b3e53f?dataset_scene_id=1},
urldate={2025-09-15},
keywords={Bridge Traffic Dataset, Road Scene Classification, Traffic Monitoring Data, Autonomous Driving Dataset},
version={1.0}
}Using this in research? Please cite us.
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