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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-classification |
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tags: |
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- shop |
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- retail |
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- computer vision |
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- object detection |
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- image |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Grocery Shelves Dataset |
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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. |
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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](https://unidata.pro/datasets/grocery-shelves/?utm_source=huggingface&utm_medium=referral&utm_campaign=grocery-shelves)** |
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# Example of the data |
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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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# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/grocery-shelves/?utm_source=huggingface&utm_medium=referral&utm_campaign=grocery-shelves) to discuss your requirements and pricing options. |
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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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# 🌐 [UniData](https://unidata.pro/datasets/grocery-shelves/?utm_source=huggingface&utm_medium=referral&utm_campaign=grocery-shelves) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |
