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Amazon Rekognition

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OpenCV

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Amazon Rekognition vs OpenCV: What are the differences?

Developers describe Amazon Rekognition as "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. On the other hand, OpenCV is detailed as "Open Source Computer Vision Library". 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.

Amazon Rekognition can be classified as a tool in the "Image Analysis API" category, while OpenCV is grouped under "Image Processing and Management".

OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.

Lensley, Athento, and Suggestic are some of the popular companies that use OpenCV, whereas Amazon Rekognition is used by AfricanStockPhoto, Printiki, and Bunee.io. OpenCV has a broader approval, being mentioned in 39 company stacks & 39 developers stacks; compared to Amazon Rekognition, which is listed in 7 company stacks and 4 developer stacks.

Decisions about Amazon Rekognition and OpenCV
Vladyslav Holubiev
Software Enginieer at Shelf · | 1 upvote · 25.4K views

AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).

Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.

We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.

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Pros of Amazon Rekognition
Pros of OpenCV
  • 4
    Integrate easily with AWS
  • 30
    Computer Vision
  • 17
    Open Source
  • 11
    Imaging
  • 9
    Machine Learning
  • 8
    Face Detection
  • 6
    Great community
  • 4
    Realtime Image Processing
  • 2
    Image Augmentation
  • 1
    Helping almost CV problem

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- No public GitHub repository available -

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 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.

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What companies use Amazon Rekognition?
What companies use OpenCV?
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What tools integrate with Amazon Rekognition?
What tools integrate with OpenCV?
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    What are some alternatives to Amazon Rekognition and OpenCV?
    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.
    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.
    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.
    ZXing
    It is a barcode scanning library for Java, Android. Decode a 1D or 2D barcode from an image on the web.
    See all alternatives