Amazon Rekognition vs. API4AI Brand Marks and Logo Recognition API

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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API4AI Brand Marks and Logo Recognition API helps with marketing analytics with measuring how frequently and prominently logo appears in live broadcasts, social media posts, and online articles. The API processes the data, detecting and logging each instance where the brand’s logo appears. Based on the insights, the company can adjust future marketing strategies, such as deciding where to place their logo during events, which social media platforms to focus on, or even negotiating better sponsorship deals based on proven visibility

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

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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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• Accuracy for difficult use cases (images with low quality)

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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The API provides with efficient brand and logo recognition and also it doesn't require any retraining for recognition of new logos. Support team has been helpful with set up. I'm pretty satisfied with accuracy, cost and speed. Workflow of our client's app has been improved significantly, integration of this API has also increased amount of end users.

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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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info