Appen vs. IBM Watson Visual Recognition (discontinued)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Appen
Score 7.0 out of 10
N/A
The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.N/A
IBM Watson Visual Recognition (discontinued)
Score 8.4 out of 10
N/A
IBM's Watson Visual Recognition was a machine learning application designed to tag and classify image data, and deployable for a wide variety of purposes. The service was discontinued in early 2021, and is no longer available.N/A
Pricing
AppenIBM Watson Visual Recognition (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AppenIBM Watson Visual Recognition (discontinued)
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AppenIBM Watson Visual Recognition (discontinued)
Best Alternatives
AppenIBM Watson Visual Recognition (discontinued)
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.9 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.9 out of 10
Medium-sized Companies
Posit
Posit
Score 9.9 out of 10
Posit
Posit
Score 9.9 out of 10
Enterprises
Posit
Posit
Score 9.9 out of 10
Posit
Posit
Score 9.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AppenIBM Watson Visual Recognition (discontinued)
Likelihood to Recommend
10.0
(1 ratings)
9.0
(2 ratings)
Usability
-
(0 ratings)
6.0
(1 ratings)
User Testimonials
AppenIBM Watson Visual Recognition (discontinued)
Likelihood to Recommend
Appen
It is well suited for the users and potential employee who are free of any job perspective and need their free time to be utilized. Users can use their free time to be used for submission of interesting tasks.
Whereas the number of tasks are very less and processing time is also very extensive and recruitment takes time more.
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Discontinued Products
As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals.
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Pros
Appen
  • Project listing
  • Hiring of the potential and qualified users
  • Tracking of the projects
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Discontinued Products
  • Food recognition
  • High reliability
  • Speed
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Cons
Appen
  • Selection procedure is bit .
  • The questionnaire need to be reviewed.
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Discontinued Products
  • Not perfect
  • Accuracy is doubted and sometimes it may not predict correctly.
  • I think it should be improved and should add a few more functionalities.
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Usability
Appen
No answers on this topic
Discontinued Products
I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own.
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Alternatives Considered
Appen
Appen offers projects mostly related to my native language and also according to my expertise . It offers very interesting projects to be completed , which requires not very expertise and less time to be completed for each task. It is also very convenient to use after selection for the task and also well rewarding against the time consumed for the task completion.
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Discontinued Products
No answers on this topic
Return on Investment
Appen
  • It has Positive impact as it provides opportunity for new jobs in my area of expertise.
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Discontinued Products
  • High cost if models are trained
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ScreenShots