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  • Version 1.0
  • Sold by Degoo

This model predicts a quality score of a given image. This measurement takes both aesthetic and technical quality into consideration. I.e. an image which is pixelated will receive a lower score than a non pixelated image.

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This model is designed for automation of business communication. Technical walk-through video describing how to use the model: https://youtu.be/rDdC0ekIBd4 It can serve as basis for classification, automatic responses and other uses. For example see the demo implementation for CRM in Customer...

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Mphasis DeepInsights Face Mask Detector takes images as input, detects faces present and then classifies whether the detected faces are wearing masks or not. This solution can be used by organizations at places such as entry gates, common hall, cafeteria etc. to ensure adherence to public health...

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This SageMaker model package provides a REST api to analyze the sentiment of English sentences. The API accepts input as JSON, CSV or plain text, and identifies the sentiment (positive or negative) and provides a confidence level (float number from 0 to 1). We welcome your feedback at...

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Sensifai offers automatic face recognition and identification. For example, our basic software recognizes thousands of celebrities in videos. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of people or celebrities and tag them in videos by providing the...

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A logistic regression model for binary classification on sparse data set like LibSVM without translating the data set into other formats like recordIO. The algorithm scales efficiently across multi-cores on a single AWS EC2 Instance out of the box.

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Sensifai offers sport recognition in videos. For example, our basic software recognizes hundreds of sport activities such as soccer, basketball and tennis. In sagemaker platform, you can easily fine-tune this software to recognize new sports and sport activities by providing the required training...

Algorithm - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is the probability of receiving an initial diabetes diagnosis in...

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Given a content image and a style image, the Neural Style Transfer will transform the content image painted with the style image. This can be used in artwork applications such as logo/icon creation or fabric design generation.

Model Package - Fulfilled on Amazon SageMaker