Illegal Parking Automatic Recognition Dataset
#Object Detection #Behavior Recognition #Traffic Monitoring #Smart Parking #Urban Management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-03-19
AI Analysis & Value Prop
The current transportation industry faces challenges such as low efficiency and high omission rates in monitoring illegal parking. Traditional monitoring often relies on manual inspections, leading to resource waste and potential hazards. Existing solutions usually cannot adapt to complex urban environments such as lighting changes and obstructions, limiting the accuracy and timeliness of recognition. This dataset aims to provide a high-quality image dataset for illegal parking, solving the technical problems of automatically recognizing illegally parked vehicles to meet the needs of intelligent transportation systems. The dataset is collected by surveillance cameras in multiple cities, organized and annotated using a standardized image processing workflow. The data collection process includes capturing under different lighting and weather conditions to ensure data diversity. We implemented multiple rounds of annotation, consistency checks, and expert reviews as quality control measures to ensure high data quality. Data is stored in JPG format, with metadata corresponding to each image file recorded in a JSON file.
Dataset Insights
Sample Examples
1f55dbc6**.jpg|2447*1352|650.94 KB
cb66b5b0**.jpg|2422*1199|486.79 KB
bce936ed**.jpg|1295*1727|377.47 KB
fec73b95**.jpg|4032*2268|1.36 MB
0d6cc4e6**.jpg|1920*2560|862.41 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| vehicle_type | string | The type of vehicle identified, such as a passenger car, truck, motorcycle, etc. |
| license_plate_number | string | The license plate number of the identified vehicle. |
| parking_location | string | The specific parking location where the vehicle is identified. |
| violation_type | string | The type of parking violation committed by the vehicle, such as parking on a sidewalk or in a no-parking zone. |
| vehicle_color | string | The color of the identified vehicle. |
| direction_of_park | string | The orientation in which the vehicle is parked. |
| obstruction_status | boolean | Determines whether the parked vehicle is causing an obstruction to traffic. |
| image_quality | string | An assessment of the image quality, such as clear, unclear, etc. |
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 traffic issues is this dataset suitable for studying?
- This dataset focuses on the study and automatic recognition of illegal parking, and can be used for research in intelligent traffic management and violation detection technologies.
- What types of annotation information are included in the illegal parking automatic recognition dataset?
- The dataset includes annotation information for object detection, such as the location, type, and violation category of parked vehicles.
- How can this dataset be used to address illegal parking issues in traffic management?
- By using this dataset to train models, it can automatically detect and recognize illegal parking behaviors, assisting traffic management departments in real-time monitoring and handling of parking violations.
- How is the image data in this dataset collected?
- The image data is usually captured from city surveillance cameras or drones photographing streets, suitable for urban traffic environments.
- How can this traffic dataset be applied in object detection?
- Researchers can use this dataset to train object detection algorithms to automatically identify illegally parked vehicles and their locations in images.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Illegal Parking Automatic Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/40fd250b05cf3c21c722ab4f8f99f01e},
urldate={2025-09-15},
keywords={Illegal Parking, Object Detection, Traffic Monitoring, Automatic Recognition},
version={1.0}
}Using this in research? Please cite us.
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