Amazon SageMaker
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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.
Product Overview
The Worker Health Safety solution enables businesses to minimize disease transmission risks in various environments. Through ML-driven proactive monitoring, it makes it easier to enforce and comply with safety standards, to keep customers and employees safe from viruses and bacteria. The ML model is trained on public datasets of crowd footage featuring individuals wearing a wide range of masks, scarfs, and respirators on the face. It can be reinforced with a social distancing monitoring solution by Provectus to further enhance safety standards.
Key Data
| Version | |
| By | Provectus |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)
Support Information
Worker Health Safety
Check out the JSON inference sample: https://bit.ly/whs-inference We'd love to tailor the model for your needs and to improve prediction accuracy for your environment and use case. Reach out to us at hello@provectus.com or visit our website.
https://provectus.com/contact/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
Refund Policy
Please notify Provectus if the solution does not produce an inference or is considered to produce unsatisfactory inferences after the trial period — and we'll open a refund case for you.