Question 49

Explanation

Correct option:

Amazon Rekognition

Amazon Rekognition is a cloud-based image and video analysis service that makes it easy to add advanced computer vision capabilities to your applications. The service is powered by proven deep learning technology and it requires no machine learning expertise to use. Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon S3.

You can add features that detect objects, text, and unsafe content, analyze images/videos, and compare faces to your application using Rekognition's APIs. With Amazon Rekognition's face recognition APIs, you can detect, analyze, and compare faces for a wide variety of use cases, including user verification, cataloging, people counting, and public safety.

via - https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html

Incorrect options:

Amazon Textract - Amazon Textract is a document analysis service that detects and extracts printed text, handwriting, structured data (such as fields of interest and their values), and tables from images and scans of documents. Amazon Textract's machine learning models have been trained on millions of documents so that virtually any document type you upload is automatically recognized and processed for text extraction.

While Amazon Textract can detect text from images and documents from a wide range of file formats, Recognition is trained on locating and identifying even small text from moving videos and images at various angles. Hence, Recognition is optimal here.

Amazon SageMaker image classification algorithm - The Amazon SageMaker image classification algorithm is a supervised learning algorithm that supports multi-label classification. It takes an image as input and outputs one or more labels assigned to that image. It uses a convolutional neural network that can be trained from scratch or trained using transfer learning when a large number of training images are not available. SageMaker image classification algorithms need certain ML experience to train and tune the model whereas Rekognition is already trained to identify labels.

Amazon SageMaker JumpStart - Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can evaluate, compare, and select Foundation Models (FMs) quickly based on pre-defined quality and responsibility metrics to perform tasks like article summarization and image generation. Pretrained models are fully customizable for your use case with your data, and you can easily deploy them into production with the user interface or SDK.

Reference:

https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html