shayanalibhatti/Retail-Store-Item-Detection-using-YOLOv5
In this repository, I present a retail store item detector using YOLOv5
This tool helps retail store managers and operations staff automatically track product inventory on shelves. By simply inputting images of store shelves, it identifies and outlines individual items, providing a visual count of products. This is ideal for anyone needing a quick, visual audit of stock levels.
121 stars. No commits in the last 6 months.
Use this if you need to quickly and visually count items on retail shelves using images to manage inventory.
Not ideal if you require precise inventory tracking at a SKU level with data export capabilities beyond visual detection, or if you don't use images for inventory.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Jun 22, 2022
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