Dabur 2 Computer Vision Project
Updated a year ago
88
views0
downloadsMetrics
Here are a few use cases for this project:
-
Inventory Management: Automate the process of tracking and reordering items in retail stores by detecting specific products on store shelves, assessing stock levels, and triggering a replenishment system.
-
Shelf Space Optimization: Analyze product placement and shelf arrangement to optimize visibility, accessibility, and sales, based on the detection of different product classes.
-
Customer Experience Enhancement: Power in-store mobile apps to help customers find specific product locations within the store, by detecting and identifying products on the shelves and creating a product map.
-
Intelligent Checkout Systems: Improve the speed and accuracy of the checkout process by automatically detecting and identifying items as they are placed on the conveyor belt or in the shopping cart, reducing the need for manual scanning.
-
Market Research and Brand Analysis: Collect data on product sales, market share, and customer preferences by monitoring products on retail shelves, helping brands and retailers make informed decisions on product pricing, promotion, and positioning.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dabur-2_dataset,
title = { Dabur 2 Dataset },
type = { Open Source Dataset },
author = { Dabur },
howpublished = { \url{ https://universe.roboflow.com/dabur/dabur-2 } },
url = { https://universe.roboflow.com/dabur/dabur-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-12-03 },
}