Transmission Housing Detection Dataset

The Transmission Housing Detection Dataset addresses the current challenges in the automotive industry regarding the integrity detection and sealing recognition of transmission housings. Manufacturers face increasing pressure to ensure quality and reduce defect rates, but existing solutions often lack precision and scalability. This dataset aims to provide a robust foundation for developing automated inspection systems that can accurately classify transmission housing conditions. Data is collected using high-resolution cameras in controlled environments, ensuring factors such as lighting and angle are optimized. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure high accuracy and reliability. Data is organized in JPG format, facilitating ease of access and use for machine learning applications. The collection process is streamlined to enhance efficiency while maintaining quality standards.