Skate Shoe Occlusion Image Dataset

The retail e-commerce industry faces significant challenges with product visibility due to occlusions from various sources such as clothing and environmental factors. Existing datasets often lack diversity in occlusion types and fail to address these visibility issues effectively. This dataset aims to address specific technical problems related to object detection and recognition under occluded conditions, fulfilling a critical business need for accurate product identification. The dataset consists of images collected using high-resolution cameras in diverse retail environments, ensuring varied lighting and background conditions. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The images are stored in JPEG format, organized in a structured directory by occlusion types and image quality assessments.