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IBM Watson Visual Recognition (discontinued)

IBM Watson Visual Recognition (discontinued)

Overview

What is IBM Watson Visual Recognition (discontinued)?

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.

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Recent Reviews
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Pricing

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IBM Watson Visual Recognition (discontinued)

IBM Watson Visual Recognition (discontinued)

N/A
Unavailable

What is IBM Watson Visual Recognition (discontinued)?

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.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

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IBM Watson Visual Recognition Demo

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Product Details

What is IBM Watson Visual Recognition (discontinued)?

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.

IBM Watson Visual Recognition (discontinued) Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(6)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
May 29, 2019

Overview on Watson Visual Recogniton

Verified User
Analyst in Engineering
Computer Software Company, 1-10 employees
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
As a tech enthusiast, I'm pretty much interested in testing new products and interesting projects. This visual recognition is pretty good, AI that can easily recognize the image and classify it based on the images we trained. There are pre-trained images for a few basic image detections, you can easily customize and train the WRR(Watson Visual Recognition). It can typically be employed in inspection in real time (Like to find defected products). But I feel like it's not ready for the enterprise yet and should be improved in my perspective. I doubt its efficiency as it's not perfect yet. Though it's not perfect it's pretty good that it can predict the image with arguably better accuracy and can be used in developing simple visual recognition applications.
Pros and Cons
  • Easy to use interface, you can just drag and drop the images in the negative and positive dropboxes to train.
  • It's affordable and there is a free version to test for yourself and check if it's useful for you.
  • Easy to integrate with apps using one single API key and you can train easily with your terminal.
  • 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.
Likelihood to Recommend
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.
Return on Investment
  • Its affordable and can be employed in small apps.
  • The free version enables us to use it in our less trafficked web apps and in the future, you may switch to the standard version from premium.
  • Overall performance will be berated as average.
Easy Tasks
  • Drag and Drop option.
  • Easy to train.
  • Easy to use a single API key.
Difficult Tasks
  • It's not very difficult but it takes a few days to learn and master it.
  • Programming skills are needed.
Mobile Interface Availability and Impressions
Yes, but I don't use it
Usability
6
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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