Amazon Rekognition vs. Azure AI Vision

Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.

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It offers a great option for IoT and simple repetitive tasks with simple configuration but it requires having previous knowledge of Microsoft tools to get familiar with how to use it. I also think it is excellent for classification especially if your requirements about specific tools could need a lot of studies.

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• Image tagging is very good.
• Object detection is precise.
• Video tagging has become very easy using Rekognition.

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• Out of the box capabilities.
• Options of analysis.

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• The cost is bit more for small scale companies.
• For text processing, OCR is not available in amazon rekognition.
• Only facial search is available in image search.

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• Material to learn.

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Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.

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Support of Amazon is great. So far we are having a great experience using it.

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It's easy to implement and its documentation is great compared to CNTK.

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• The best thing it made our work fast.
• It reduces the chance of failure of a project which is based on image or video processing.
• We can assign anyone in our team to work on this as it very easy to use.

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• It provided easy configuration for project requirements.
• Allow me to execute simple tests.
• Great manage of resources.

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