Overview on Watson Visual Recogniton
May 29, 2019

Overview on Watson Visual Recogniton

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Visual Recognition

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.
  • 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.
  • 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.
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.

Using IBM Watson Visual Recognition

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.
Relatively simple
Easy to use
Well integrated
Quick to learn
Lots to learn
  • Drag and Drop option.
  • Easy to train.
  • Easy to use a single API key.
  • It's not very difficult but it takes a few days to learn and master it.
  • Programming skills are needed.