Amazon Rekognition vs. IBM watsonx.ai

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Rekognition
Score 9.6 out of 10
N/A
Amazon offers Rekognition, an image and video visual analytics tool that is trained on locating and identifying labeled or tag-related objects, events, people, and also inappropriate content in images and video so that images and video can more safely and reliably be integrated and positioned in web applications or presentations after it conducts its analysis.N/A
IBM watsonx.ai
Score 8.0 out of 10
N/A
Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
$0
Pricing
Amazon RekognitionIBM watsonx.ai
Editions & Modules
No answers on this topic
Essentials
$0
per month
Free Trial
$0
per month
Standard
$1,500
per month
Offerings
Pricing Offerings
Amazon RekognitionIBM watsonx.ai
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsGet started building differentiated AI assets with watsonx.ai, our studio for generative AI, foundation models and machine learning. Scale up your AI use cases as needed with integrations to watsonx.data, a fit-for-purpose data store built on an open data lakehouse architecture, and watsonx.governance (coming soon), a toolkit to accelerate responsible, transparent and explainable AI workflows. Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.
More Pricing Information
Community Pulse
Amazon RekognitionIBM watsonx.ai
Top Pros

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Top Cons

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Best Alternatives
Amazon RekognitionIBM watsonx.ai
Small Businesses
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Score 7.8 out of 10
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Medium-sized Companies
Posit
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Score 9.2 out of 10
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Score 9.2 out of 10
Enterprises
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Score 7.8 out of 10
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User Ratings
Amazon RekognitionIBM watsonx.ai
Likelihood to Recommend
9.5
(2 ratings)
7.8
(5 ratings)
Usability
9.5
(2 ratings)
-
(0 ratings)
Support Rating
9.5
(2 ratings)
-
(0 ratings)
User Testimonials
Amazon RekognitionIBM watsonx.ai
Likelihood to Recommend
Amazon AWS
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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IBM
Based on my experience, I can recommend that you have a good AI management system in your company account, and if you have the money at your disposal to invest in IBM watsonx, do not hesitate. We are using API models to obviously build a work environment with sustainable flow as well. We have AI and ML lifecycle support.
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Pros
Amazon AWS
  • Image tagging is very good.
  • Object detection is precise.
  • Video tagging has become very easy using Rekognition.
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IBM
  • Easy to use
  • Provides a subsequent number of pre-trained models
  • Integration with the overall Watson platform
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Cons
Amazon AWS
  • 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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IBM
  • User-interface can be improved
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Usability
Amazon AWS
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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IBM
No answers on this topic
Support Rating
Amazon AWS
Support of Amazon is great. So far we are having a great experience using it.
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IBM
No answers on this topic
Alternatives Considered
Amazon AWS
It's easy to implement and its documentation is great compared to CNTK.
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IBM
IBM watsonx.ai is more enterprise oriented providing more options regarding on-premises setup and other compliance issues. Better suited for the corporate world.
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Return on Investment
Amazon AWS
  • 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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IBM
  • effective "LiGO" algorithm saving time and cost
  • access to the catalog of open source models for enterprises
  • fine tuning techniques
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ScreenShots

IBM watsonx.ai Screenshots

Screenshot of Foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of Prompt Lab in watsonx.ai where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of Tuning Studio in watsonx.ai where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of Data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.