Toll Station Entrance Recognition Image Dataset
#Object Detection #Image Classification #Image Recognition #Traffic Monitoring #Autonomous Driving #Intelligent Transportation Systems
- 500 records
- 1.2G
- JPG
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The current traffic driving industry faces challenges of insufficient accuracy in detecting highway toll station entrances. Traditional solutions rely on fixed cameras and manual monitoring, often resulting in misjudgments and delays, especially when lighting and weather conditions change. This dataset aims to improve the accuracy and efficiency of automatic toll station entrance detection through high-quality image data, meeting the development needs of intelligent transportation systems. Data is collected using high-resolution camera vehicle-mounted devices under different weather and lighting conditions. Quality control includes multiple rounds of annotation and consistency checks, and reviews by traffic sign experts, with a team size of 30 people. Data preprocessing includes noise reduction, lighting correction, and image segmentation, stored in JPG format and organized in a hierarchical directory structure.
Dataset Insights
Sample Examples
a359ec6f**.jpg|1179*1554|144.22 KB
c23857c1**.jpg|1018*1449|162.47 KB
a4a68fb2**.jpg|3024*4032|966.35 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| toll_station_name | string | The name of the toll station identified from the image. |
| vehicle_count | integer | The number of vehicles detected in the image. |
| entry_lane_count | integer | The number of vehicle lanes at the entrance of the toll station. |
| traffic_light_status | string | The current status of the traffic light in the image (e.g., red, green). |
| signage_detection | string | The detected signs or signages in the image. |
| weather_condition | string | The weather condition displayed in the image (e.g., sunny, rainy). |
| road_condition | string | The condition of the road in the image, such as whether there is water accumulation or damage. |
| entry_barrier_status | string | The status of the barrier at the entrance of the toll station (e.g., up or down). |
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 Tollgate Entrance Recognition Image Dataset?
- The Tollgate Entrance Recognition Image Dataset is a dataset of images used to identify tollgate entrances in traffic driving.
- Which industry is this dataset mainly applied to?
- This dataset is mainly applied in the traffic driving industry.
- How to use the Tollgate Entrance Recognition Image Dataset to improve recognition efficiency?
- By analyzing and training image models on this dataset, the efficiency of automatically identifying and detecting tollgate entrances can be improved.
- What types of images does the Tollgate Entrance Recognition Image Dataset include?
- The dataset contains high-quality images of various tollgate entrances for recognition and detection.
- Why is tollgate entrance recognition important in traffic driving?
- Accurate recognition of tollgate entrances can help improve road traffic efficiency, reduce traffic congestion, and enhance driving safety.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Toll Station Entrance Recognition Image Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/ba35e908a70a0e66fd5310a54aaaf8a0},
urldate={2026-02-04},
keywords={toll station recognition, traffic dataset, autonomous driving learning},
version={1.0}
}Using this in research? Please cite us.
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