Night Road Traffic Police Inspection Scene Image Dataset

#Target Detection #Image Recognition #Traffic Monitoring #Safety Inspection #Law Enforcement Assistance
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-18

AI Analysis & Value Prop

The current traffic industry faces many challenges in night enforcement and safety checks, especially in low-light conditions where traditional monitoring methods often fail to effectively capture violations. Existing datasets are mostly focused on daytime scenes, leading to a scarcity of nighttime data, which cannot meet actual application needs. This dataset aims to address the target detection issue under the night road traffic police inspection scene by providing high-quality night image data to help improve enforcement efficiency. Data collection is carried out using professional monitoring equipment in real road environments to ensure the reproduction of real scenes. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with all annotations reviewed by experienced experts. The data is stored in JPG format and organized into a folder structure for easy access and management.

Dataset Insights

Sample Examples

5db3caf3**.jpg|1707*1280|334.38 KB

5c92cf1a**.jpg|3000*4000|1.05 MB

8c4b2595**.jpg|3000*4000|1.12 MB

63cac8c7**.jpg|2560*1702|422.63 KB

6180f14d**.jpg|3000*4000|1.46 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
object_countintThe total number of detectable objects in the image.
vehicle_countintThe total number of vehicles detected in the image.
pedestrian_countintThe total number of pedestrians detected in the image.
traffic_light_statusstringThe current status of the traffic lights in the image, such as red light, green light, etc.
police_presencebooleanIndicates whether there is a police officer present in the image.
road_conditionstringDescription of the road condition in the image, such as slippery, dry, etc.
lighting_conditionstringThe lighting condition of the scene in the image, such as bright, dim, etc.
weather_conditionstringThe weather condition depicted in the image, such as sunny, rainy, etc.
lane_marking_visibilitystringThe visibility of lane markings in the image, such as clear, blurry, etc.
incident_presencebooleanIndicates whether there is a traffic incident, such as an accident, present in the image.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the nighttime road traffic police inspection scene image dataset?
The nighttime road traffic police inspection scene image dataset is an image dataset for object detection, aimed at improving the effectiveness and efficiency of nighttime traffic law enforcement.
Which field does this dataset belong to?
This dataset belongs to the transportation industry field.
What can the nighttime road traffic police inspection scene image dataset be used for?
This dataset can be used to train algorithms to enhance detection capabilities and efficiency in nighttime road traffic law enforcement scenarios.
What is the data modality of the nighttime road traffic police inspection scene image dataset?
The data modality of this dataset is images.
What are the benefits of using the nighttime road traffic police inspection scene image dataset?
Using this dataset can help improve algorithmic object detection capabilities in nighttime road environments, enhancing the effectiveness of traffic enforcement.

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Cite this Work

@dataset{Mobiusi2025,
  title={Night Road Traffic Police Inspection Scene Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/70e3db1e566bf099b87efe243187c27a},
  urldate={2025-09-15},
  keywords={Night Road Monitoring, Traffic Police Inspection Dataset, Target Detection Dataset},
  version={1.0}
}

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