Frozen Food Product Occlusion Image Dataset

In the current retail e-commerce landscape, the rapid growth of online grocery shopping has brought about challenges in accurately recognizing products, especially when they are occluded in images. Existing datasets often lack sufficient variety and quality for occluded products, leading to limitations in training robust image recognition models. This dataset addresses the need for a comprehensive collection of occluded frozen food product images, focusing on brands like Amy’s, Birds Eye, and Lean Cuisine. The dataset comprises images taken under varied lighting conditions and angles to enhance model training. Data is collected using high-resolution cameras in a controlled environment, ensuring consistent quality. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high accuracy. The dataset is organized in JPEG format for efficient storage and access.