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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Visual Shelf Monitoring
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By: Agmis Latest Version: v1.0

Product Overview

The model is used to monitor product stock levels on a store shelve. The model can identify if the particular product is present or if the shelve is empty. Together with stock management software, the model can be used to notify shop managers when stock on a shelve is running low and the shelve needs to be restocked.

Key Data

Version
By Agmis
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

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