Grocery Shelves Dataset

Dataset comprises 5,000+ images of grocery shelves captured in various grocery stores and supermarkets under different lighting conditions. It is designed for research in object detection and product recognition, providing valuable insights into the retail industry for enhancing computer vision applications.

By utilizing this dataset, users can improve their understanding of deep learning methods and develop more effective vision applications tailored to the retail sector. - Get the data

Example of the data

Each image is accompanied by an XML-annotation indicating the labeled types of product for each image in the dataset. Each image has an attribute of the product(boolean): facing, flipped, occluded.

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Researchers can leverage this dataset to advance their work in object detection and product recognition, ultimately contributing to the development of smarter grocery delivery systems and enhanced shopping experiences for consumers. It includes a diverse range of shelf images that reflect real-world grocery market environments, making it an invaluable resource for researchers and developers focused on image classification and computer vision tasks.

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