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IBM Watson Visual Recognition (discontinued) Reviews & Insights

Score8.4 out of 10

6 Reviews and Ratings

IBM Watson Visual Recognition (discontinued) Reviews

2 Reviews

IBM Watson Visual Recognition is excellent

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

We were looking for a visual recognition service to integrate into our app to help the user with their nutrition and health. The user just needed to use the service offered by IBM and then our algorithms would process the data received. IBM Watson Visual Recognition proved to be up to the task by making our app achieve its purpose with great success.

Pros

  • Food recognition
  • High reliability
  • Speed

Cons

  • Documentation sometimes not complete

Likelihood to Recommend

IBM Cloud's strong point is precisely the services offered by Watson. I would recommend that anyone evaluate these services based on their business. IBM Watson Visual Recognition also offers pre-built templates for those who need to deploy the app as soon as possible. One downside is on the economic front. Training visual recognition services could increase costs significantly.
Vetted Review
IBM Watson Visual Recognition (discontinued)
1 year of experience

Overview on Watson Visual Recogniton

Rating: 6 out of 10
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

  • 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.

Cons

  • 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.
Vetted Review