Running Shoe Occlusion Image Dataset

The retail e-commerce sector is facing challenges in accurately identifying and classifying products due to occlusions caused by environmental factors like grass covering the shoe or motion blur during sports activities. Current datasets often lack diverse scenarios, making it difficult for models to generalize effectively in real-world applications. This dataset aims to address these issues by providing a comprehensive collection of images depicting running shoes under various occlusion conditions. Data was collected using high-quality cameras in outdoor settings, ensuring a wide range of environments. Each image underwent a rigorous quality control process involving multiple rounds of annotation and expert reviews to ensure consistency and accuracy. The images are stored in JPG format, organized systematically by categories of occlusion and shoe types.