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Amazon Rekognition Reviews and Ratings

Rating: 9.9 out of 10
Score
9.9 out of 10

Reviews

2 Reviews

Great API for image and video processing

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

Amazon Rekognition is widely used in our organization for image-related projects of our clients. It is used for image processing and image classification. It is also used for object detection projects. Video processing and analysis is mainly done using Amazon Rekognition also. Natural language processing projects are done using this and facial recognition is being done using this.

Pros

  • Easy to use framework, just make API calls.
  • The accuracy is very good that we can rely on it.
  • It provides all functionalities for image and videos.

Cons

  • 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.

Likelihood to Recommend

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.

PB
Purva Bhatt
Senior Software Engineer in Engineering at RapidOps, Inc. (51-200 employees)
Vetted Review
Amazon Rekognition
1 year of experience
View profile

Image and video analysis through API

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

Amazon Rekognition is a very easy solution to add image and video analysis to our applications using simple API calls. It is very easy to use and adding image tagging, object recognition, and various other image analysis has become too easy for us to add to any software or web app. Also, video tagging of it is very good and can be used for professional development.

Pros

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

Cons

  • Uses API calls which delays operation sometimes.

Likelihood to Recommend

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.

SL
Sam Lance
ML engineer in Information Technology at Cloudworks (51-200 employees)
Vetted Review
Amazon Rekognition
3 years of experience