Mobiusi/Front-Lamp-Detection-Dataset

Front Lamp Detection Dataset

In the industrial sector, the need for automated quality control and rapid inspection of accident vehicles is increasing due to the growing complexity of production lines and safety regulations. Current solutions often struggle with accuracy and speed, leading to inefficiencies and potential safety hazards. This dataset aims to address these challenges by providing high-quality annotated images of front lamps to enhance detection algorithms. Data is collected using high-resolution cameras in controlled environments, ensuring a consistent quality. Multiple rounds of annotation and expert reviews are implemented to maintain high standards of labeling accuracy. The dataset is stored in JPG format, organized by image categories, and supported by a comprehensive metadata structure.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
headlight_position	string	The position or area information of the headlights in the image.
headlight_count	int	The number of headlights detected in the image.
glare_presence	boolean	Whether there is glare from the headlights present in the image.
headlight_type	string	The type of headlights, such as halogen lamps, LED lights, etc.

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com