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.