Amazon Rekognition vs Google Cloud Vision API

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Amazon Rekognition
Amazon Rekognition

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Google Cloud Vision API
Google Cloud Vision API

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Amazon Rekognition vs Google Cloud Vision API: What are the differences?

Amazon Rekognition: Image Detection and Recognition Powered by Deep Learning. Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications; Google Cloud Vision API: Understand the content of an image by encapsulating powerful machine learning models. Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Amazon Rekognition and Google Cloud Vision API can be primarily classified as "Image Analysis API" tools.

S.C. Galec, nurx, and intelygenz are some of the popular companies that use Google Cloud Vision API, whereas Amazon Rekognition is used by AfricanStockPhoto, Printiki, and Bunee.io. Google Cloud Vision API has a broader approval, being mentioned in 24 company stacks & 8 developers stacks; compared to Amazon Rekognition, which is listed in 7 company stacks and 3 developer stacks.

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What is Amazon Rekognition?

Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.

What is Google Cloud Vision API?

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
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          What are some alternatives to Amazon Rekognition and Google Cloud Vision API?
          TensorFlow
          TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
          OpenCV
          OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
          Tesseract OCR
          Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
          Tesseract.js
          This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.
          scanR
          scanR is a simple OCR API service that supports 32 languages and can extract text from images or PDF files.
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          AfricanStockPhoto uses Amazon RekognitionAmazon Rekognition

          The brains behind our auto-tagging - we can automatically detect contents of images using this

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