Urban Road Illegal Parking Detection Dataset
#object detection #image classification #traffic management #urban planning #intelligent surveillance
- Records
- 5000 records
- Size
- 1.5G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
With the acceleration of urbanization, traffic management faces increasing challenges, particularly the growing issue of illegal parking, which leads to traffic congestion and safety hazards. Currently, although some surveillance systems can identify illegal parking, their accuracy and real-time performance are still insufficient to meet urban management needs. This dataset aims to address the low accuracy and real-time performance in object detection by providing high-quality images of illegal parking. The dataset is constructed using high-resolution cameras capturing in real urban environments to ensure the authenticity and diversity of the data. During data processing, we employ multiple rounds of labeling combined with expert reviews for quality control, ensuring labeling accuracy and consistency. The data will be stored in JPEG format, accompanied by JSON files to record relevant annotation information, facilitating subsequent model training and evaluation.
Overview
Dataset Insights
Preview
Sample Examples
7ce77319**.jpg|1441*1080|217.47 KB
52dcc608**.jpg|1536*2048|675.21 KB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vehicle_type | string | The type of vehicle appearing in the image, such as car, truck, bus, etc. |
| violation_type | string | The specific type of violation detected in the image, such as parking in a no-parking zone or parking on the sidewalk. |
| license_plate_visibility | boolean | Whether the license plate is clearly visible in the image. |
| color | string | The color of the vehicle in the image. |
| road_markings_obstruction | boolean | Whether the vehicle is obstructing the road markings. |
| pedestrian_presence | boolean | Whether there are pedestrians present in the image. |
| parking_zone_type | string | The type of parking area where the vehicle is located, such as public area, temporary parking zone, etc. |
Trust
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
FAQ
Frequently Asked Questions
- What is the Urban Road Illegal Parking Detection Dataset?
- The Urban Road Illegal Parking Detection Dataset is an object detection dataset containing images of illegal parking on urban roads, designed to aid in the development of illegal parking detection algorithms.
- Which field is the Urban Road Illegal Parking Detection Dataset mainly used in?
- This dataset is mainly used in the transportation field, particularly in urban management and the development of intelligent transportation systems.
- What are the characteristics of the Urban Road Illegal Parking Detection Dataset?
- The dataset provides richly labeled images and detailed information, focusing on detecting illegal parking behaviors on urban roads.
- Why is the Urban Road Illegal Parking Detection Dataset important to the transportation industry?
- This dataset helps improve the efficiency of intelligent transportation systems and urban management effectiveness by supporting the development of precise illegal parking detection algorithms to solve traffic congestion and management issues.
- How to use the Urban Road Illegal Parking Detection Dataset for object detection tasks?
- The dataset can be used to train machine learning models to precisely identify and classify illegal parking activities on urban roads.
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Cite this Work
@dataset{Mobiusi2025,
title={Urban Road Illegal Parking Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/fbf0934f4915a73f4bc6a24ee0ef42ba?dataset_scene_id=1},
urldate={2025-09-15},
keywords={illegal parking, object detection dataset, traffic management, urban roads, image recognition},
version={1.0}
}Using this in research? Please cite us.
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