Name: Zydus Wellness Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Inventory Management and Restocking: Use the Zydus Wellness computer vision model to monitor retail shelves in real-time, identify which products are running low or out of stock, and automatically generate restocking orders for store personnel.
Automated Checkout and Self-Service: Implement the model in self-checkout systems or with shopping carts, allowing customers to quickly scan and register their selected products, reducing wait times at the checkout counter.
Retail Store Layout Optimization: Use Zydus Wellness to analyze product visibility and complementary product placements on shelves, helping store owners or retail space planners make data-driven decisions on store layouts and promotions.
Personalized Recommendations and Marketing: Integrate the model within shopping apps or in-store systems, enabling personalized promotions or product recommendations based on customers' browsing behavior and product preferences.
Price and Product Comparison: Use the Zydus Wellness model in price comparison apps or in-store kiosks that allow customers to compare product details, such as nutritional information and pricing, enhancing their shopping experience and fostering informed decisions.

Cite This Project

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

@misc{
                            zydus-wellness_dataset,
                            title = { Zydus Wellness Dataset },
                            type = { Open Source Dataset },
                            author = { Yoma },
                            howpublished = { \url{ https://universe.roboflow.com/yoma/zydus-wellness } },
                            url = { https://universe.roboflow.com/yoma/zydus-wellness },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }