shelves Object Detection Dataset and Pre-Trained Model by shelfdetect

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Explore Dataset

Here are a few use cases for this project:

Retail Inventory Management: The "shelves" model can be used to monitor and track inventory levels in retail stores by recognizing products on the shelves and alerting staff when restocking is needed or when there's an issue with product placement.
Automated Warehouse Organizing: In warehouses or distribution centers, the "shelves" model can help optimize the organization and storage of products by identifying shelf types that are suitable for each item, making order fulfillment more efficient.
Shelf Space Optimization: Retailers can utilize the "shelves" model to analyze shelf space usage and product arrangement, enabling them to optimize product display and improve sales performance by identifying high-performing products that should be given more shelf exposure.
Shelf Maintenance in Libraries: The "shelves" model can be employed in libraries and bookstores to detect and categorize shelves according to their usage, helping librarians maintain order and ensure that books are correctly returned to their designated shelves.
Accessibility Compliance: The "shelves" model can be used to evaluate and identify non-compliant shelving designs in public spaces or commercial establishments, ensuring that they adhere to accessibility standards and providing guidance for necessary adjustments.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ shelves-ugxt3_dataset,
    title = { shelves Dataset },
    type = { Open Source Dataset },
    author = { shelfdetect },
    howpublished = { \url{ https://universe.roboflow.com/shelfdetect-yzkro/shelves-ugxt3 } },
    url = { https://universe.roboflow.com/shelfdetect-yzkro/shelves-ugxt3 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-04 },
}