Air Conditioning Outlet Guiding Blade Detection Dataset

The air conditioning industry faces challenges in ensuring the correct installation and integrity of guiding blades, which are crucial for controlling airflow direction. Current solutions often rely on manual inspections, which can be inconsistent and error-prone. This dataset aims to address the need for automated inspection systems that can accurately detect the position and integrity of guiding blades, thereby improving quality control in manufacturing processes. Data collection involved capturing images of guiding blades under various lighting conditions using high-resolution cameras in a controlled factory environment. Quality control measures included multi-round annotations, consistency checks among different annotators, and expert reviews to ensure high precision. The dataset is organized in JPG format, with each image labeled according to the defined fields.