Amazon Rekognition vs. UserReplay

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.

Incentivized

Great for online businesses who are well established and want to refine their UX/site performance.

Incentivized

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

Incentivized

• Identifying an issue and quickly understanding what the financial impact is
• Seeing how users use and interact with your site, by device
• Reporting on custom events
• Quickly finding a session and replaying it, to watch it back.

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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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• Having confidence in the reports/numbers it pulls
• No function to email out weekly/monthly reports.
• Insights are sometimes difficult to extract

Incentivized

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.

Incentivized

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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Very well, a similar but different system

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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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• Confirmed our low basket abandonment

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