Seat Buckle Detection Dataset

The seat buckle detection dataset is designed to address the growing concerns in the automotive industry regarding safety and reliability. Currently, the industry faces challenges in ensuring that seat buckles are properly secured, which can lead to safety risks. Existing solutions often rely on manual inspections, which can be time-consuming and prone to human error. This dataset aims to provide a robust foundation for developing automated detection systems that can quickly and accurately identify seat buckle statuses. The dataset includes images captured from various angles and lighting conditions to enhance the model's generalization ability. Data is collected using high-resolution cameras in a controlled environment, ensuring consistent quality. Quality control measures include multi-round annotations and expert reviews to guarantee high precision and consistency. The data is stored in JPG format, organized with clear labeling for easy access.