Amazon Rekognition vs. Azure AI Vision

It is very well suited for image processing and recognition based applications and can be easily used using API calls without actually. writing any code for image processing. It can be used with any professional software development as it is built with so much precision. I would not suggest it for a sole feature-based application like image tagging only because for that you can create your own algorithm specific to a domain you want.

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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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Accuracy and usability of amazon Rekognition are great. It provides many functionalities its competitors do not. Also, the Amazon service is great in general.

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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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