Camshaft Detection Dataset

The Camshaft Detection Dataset aims to address the challenges in industrial camshaft inspection, which is critical for ensuring quality in automotive manufacturing. Current methods often struggle with variations in lighting and occlusions, leading to high false-negative rates. This dataset is designed to improve image recognition capabilities and enhance defect detection accuracy. The dataset consists of images collected under varying light conditions and with different occlusions, ensuring robustness. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high annotation precision. The data is stored in JPEG format, organized in a structured directory for easy access and retrieval.