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How to use AWS Rekognition using Ruby on Rails!

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Ever wanted to use a technology that can identify specific objects contained in any given image? Well look no further as AWS Rekognition fulfils that need. AWS Rekognition is a tool that is part of the AWS Cloud Infrastructure ecosystem. It primarily serves to make it easy to add image and video analysis to any application using machine learning that requires zero knowledge of artificial intelligence. AWS Rekognition can be used to recognizing objects, people, text and many more. One notable use case for Rekognition is to use it to identify dog breeds via a dog image.


AWS Rekognition: Machine Learning Using Python Masterclass

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AWS Rekognition: Machine Learning Using Python Masterclass Use Python programming to extract text and labels from images using Pycharm, Boto3, and AWS Rekognition Machine Learning. What you'll learn Successfully use Python to extract text from images and labels Fundamentals of AWS Machine Learning Gain solid understanding of AWS Rekognition Python intro and advanced programming - all in one PyCharm installation and configuration Using Boto3: Coding in Python to detect objects, faces, and text from images Work with AWS S3 and learn how to write Python code Successfully use SSH to connect to AWS EC2 instance Description In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn AWS Rekognition: Machine Learning Using Python Masterclass step-by-step, complete hands-on - Bringing you the latest technologies with up-to-date knowledge. Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS cetifications? Look no further - learn the Use Python programming to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.


Text detection API showdown: Google vision vs Microsoft Vs Amazon

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Detecting and reading text from photos has multiple use cases, be it clicking a picture of a printed text and automatically converting it into a digital file or the new age application of reading bills and invoices. Other interesting use cases include deep image search, understanding local business listing using street view images or when combined with text translation the ability to take a picture of a billboard in a foreign country and have it converted to your native language, the possibilities are limitless. Image text recognition is a class of computer vision problems which, among other things, includes OCR (optical character recognition) or text detection (used to find printed text on images) or handwritten text recognition. With the advancement of deep learning we have come a long way to get substantially better at text recognition, but still, the best companies in the business have much to cover before we can consider this problem as solved. Most of the major technology companies/cloud services provide APIs to recognize text in an image.