Backpack Occlusion Image Dataset

In the current retail e-commerce sector, visual recognition systems face significant challenges in accurately identifying products due to occlusions, particularly in images where straps obscure logos or buckles. Existing datasets often lack diversity in occluded images, making them insufficient for training robust models. This dataset aims to address these limitations by providing a specialized collection of images featuring backpacks with varying levels of occlusion caused by shoulder straps. The dataset is collected using high-quality cameras in diverse environments, ensuring a variety of angles and lighting conditions. Quality control measures include multi-round annotations and expert reviews to ensure consistency and accuracy. The images are stored in JPG format, organized by occlusion level and category for easy access.