Motorcycle Travel and License Plate Recognition Dataset
#object detection #image recognition #intelligent transportation #license plate recognition #traffic monitoring
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current transportation industry faces challenges in traffic safety and management efficiency, particularly in motorcycle travel and license plate recognition. Existing monitoring systems are inadequate in recognition accuracy and real-time performance. Traditional license plate recognition technology often poorly adapts to ambient light and angles, resulting in low accuracy. This dataset aims to provide high-quality motorcycle travel and license plate recognition data to help researchers and developers improve algorithm recognition performance and accuracy. The dataset consists of high-resolution traffic monitoring images, collected at major urban intersections using high-definition cameras for all-weather shooting. To ensure data quality, we adopted multiple rounds of annotation, consistency checks, and expert reviews as quality control measures. Data is stored in JPEG format, with image files organized by date and location for ease of retrieval and use.
Dataset Insights
Sample Examples
4b82071e**.jpg|1232*2048|802.27 KB
104db72c**.jpg|1257*859|115.06 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| dominant_color | string | The dominant color of the motorcycle or license plate in the image. |
| motorcycle_make | string | The brand of the motorcycle appearing in the image. |
| motorcycle_model | string | The model of the motorcycle appearing in the image. |
| plate_number_orientation | string | The orientation of the license plate in the image, such as horizontal or vertical. |
| license_plate_visibility | boolean | Whether the license plate is visible in the image. |
| rider_helmet_status | string | Whether the rider is wearing a helmet. |
| number_of_riders | integer | The number of riders on the motorcycle in the image. |
| weather_conditions | string | The weather conditions at the time the image was captured. |
| road_type | string | The type of road on which the motorcycle is traveling, such as highway or city street. |
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 information is included in the Motorcycle Travel and License Plate Recognition Dataset?
- The dataset includes image data for object detection, focusing on motorcycle travel and license plate recognition to support the development of intelligent transportation systems.
- How can the Motorcycle Travel and License Plate Recognition Dataset be used for research?
- Researchers can use the images in the dataset to train and test license plate recognition algorithms and analyze motorcycle travel patterns to improve intelligent transportation system efficiency.
- What intelligent transportation applications is the Motorcycle Travel and License Plate Recognition Dataset suitable for?
- The dataset is suitable for applications such as license plate recognition systems, traffic behavior analysis, motorcycle travel monitoring, and intelligent traffic management.
- What is the value of this dataset in the transportation industry?
- The dataset helps improve license plate recognition accuracy, optimize traffic monitoring systems, and advance research in traffic data analysis.
- What types of images are included in the Motorcycle Travel and License Plate Recognition Dataset?
- The dataset primarily includes images of motorcycle travel scenes and their license plates, offering images under different environments and conditions for training object detection models.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Motorcycle Travel and License Plate Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/53dad77090b97b7f04b72626662af9d0?dataset_scene_id=1},
urldate={2025-09-15},
keywords={motorcycle travel dataset, license plate recognition dataset, traffic monitoring, object detection, image recognition},
version={1.0}
}Using this in research? Please cite us.
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