fferreyra65/Object_Detection_for_in-store_inventory_management
Object detection for in-store inventory management
This project helps retail store managers and operations teams automatically track inventory on shelves. By inputting images of densely packed shelves, it identifies and counts individual products, providing an up-to-date overview of stock levels. The output helps identify missing items or misplaced products without manual checks.
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Use this if you need to automate inventory checks for products displayed on shelves in a retail environment.
Not ideal if your inventory is primarily stored in a warehouse, or if you only need to track a few large, easily visible items.
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Last pushed
Jan 18, 2024
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