Wiper Motor Detection Dataset

The automotive industry faces significant challenges in ensuring the reliability and functionality of components like wiper motors, which are critical for vehicle safety. Current inspection methods often rely on manual checks, leading to inconsistencies and potential oversight. This dataset aims to address the need for automated detection and classification of wiper motor conditions through advanced image processing techniques. The dataset comprises images collected from various angles and lighting conditions to ensure robustness. Data was captured using high-resolution cameras in controlled environments, with strict quality control measures such as multi-round annotations and expert reviews to guarantee accuracy. Images are stored in JPG format, organized by categories of motor conditions, and labeled accordingly. The dataset structure allows for efficient access and retrieval for training machine learning models.