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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.
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.
Pros of Amazon Rekognition
- Integrate easily with AWS4
Pros of OpenCV
- Computer Vision36
- Open Source17
- Imaging12
- Face Detection9
- Machine Learning9
- Great community6
- Realtime Image Processing4
- Image Augmentation2
- Helping almost CV problem2
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Cons of Amazon Rekognition
- AWS1