Commercial
Grocery Shelves
A dataset of photos featuring grocery shelves, containing images of various product categories in supermarkets
Request a demo- Data annotation The process of identifying objects in photos for training a system to recognize and interpret them
- Computer Vision The ability to recognize and analyze images and videos
- Retail Analytics The use of machine learning for analyzing data in the retail sector.
- Object Detection Identifying and localizing objects in images
- 5,000+
- photos
CASE DESCRIPTION
The dataset includes images of grocery shelves taken in various supermarkets at different lighting conditions
Each image is accompanied by an XML-annotation indicating the labeled types of product for each image in the dataset.
Each image has an attribute of the product(boolean): facing, flipped, occluded.
Application areas of the dataset
-
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.
Why Choose Us
UniData offers unparalleled expertise in AI data solutions, delivering superior data quality and optimized workflows- 1000 +
- full-time assessors