Mountain Shoe Occlusion Image Dataset

The retail e-commerce sector is facing significant challenges due to the increasing complexity of product recognition in images affected by various occlusions, such as mud cover, grass camouflage, and motion blur. Existing solutions often struggle with accuracy and robustness, particularly under these challenging conditions. This dataset aims to address these specific technical issues by providing a rich source of images that depict mountain shoes under various occlusion scenarios, which are crucial for training more effective recognition models. The dataset has been compiled using high-resolution photography techniques in diverse outdoor environments, ensuring a variety of occlusion types. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews, ensuring high-quality labeled data. The data is stored in JPG format, organized in a structured manner for easy access and use.