
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.
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
Additional Resources
End User License Agreement
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Support Information
Visual Shelf Monitoring
Email.: info@agmis.eu https://agmis.lt/contact-us/
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Refund Policy
We do not offer refunds at this time