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Amazon Rekognition

Stacks77

Followers140

+ 1

Votes4

OpenCV

Stacks987

Followers988

+ 1

Votes97

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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

Sr. Directory of Technology at Shelf · Oct 25, 2019 | 1 upvote · 37.9K views

Chose

over

(

)

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

36
Computer Vision
17
Open Source
12
Imaging
9
Face Detection
9
Machine Learning
6
Great community
4
Realtime Image Processing
2
Image Augmentation
2
Helping almost CV problem

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Cons of Amazon Rekognition

Cons of OpenCV

1
AWS

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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 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?

See which teams inside your own company are using Amazon Rekognition or OpenCV.

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What tools integrate with Amazon Rekognition?

What tools integrate with OpenCV?

No integrations found

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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.

libpng

It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested.

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Amazon Rekognition vs OpenCV

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Pros of Amazon Rekognition

Pros of OpenCV

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Cons of Amazon Rekognition

Cons of OpenCV

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What is Amazon Rekognition?

What is OpenCV?

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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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