Rice Cooker LCD Screen Damage Detection Dataset

The current industrial landscape faces challenges with quality assurance, particularly in the inspection of electronic displays. Traditional methods often fall short in accurately detecting minute defects such as cracks and abnormal displays. This dataset aims to address these technical issues by providing a comprehensive resource for training models that can identify such defects with high precision. The dataset is structured with images collected from various rice cooker LCD screens, ensuring a diverse representation of potential defects. Data collection was performed using high-resolution cameras in controlled environments to maintain consistency. Quality control measures included multiple rounds of annotations and expert reviews to ensure data reliability. The images are stored in JPG format and organized in a structured directory for easy access.