Grocery Shelves Dataset
A dataset of photos featuring grocery shelves, containing images of various product categories in supermarkets
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- photos
- 5,000+
- Data annotation
- Computer Vision
- Retail Analytics
- Object Detection
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- photos
- 5,000+
CASE DESCRIPTION
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The dataset includes images of grocery shelves taken in various supermarkets at different lighting conditions
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Each image is accompanied by an XML-annotation indicating the labeled types of product for each image in the dataset.
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Each image has an attribute of the product(boolean): facing, flipped, occluded.
Application areas of the dataset
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01.
Inventory Automation:
Development of systems that can track the availability and quantity of products on shelves in real-time. -
02.
Product Placement Optimization:
Utilizing data to plan more effective product placement and arrangement in stores. -
03.
Customer Behavior Analysis:
Integration with data analysis systems to understand customer preferences and improve product assortment. -
04.
Dynamic Pricing Strategies:
Utilizing real-time data to implement dynamic pricing models based on product availability, demand, and competition.
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