G2

Varsha S.

CTO

Computer Software

Small-Business (50 or fewer emp.)

7/31/2018

"Optimal Computer Vision Algorithms"

4.5/5

What do you like best about SimpleCV?

SimpleCV being open source has lots of followers. These followers have contributed over a long time to make this library perfect which means it is ready to use at industry level and all the algorithms are optimized to a great extent.

Computer Vision is a old but still has lots of research going on which means frequently new algorithms are made. SimpleCV has great support for this kind of updates with good documentation. Review collected by and hosted on G2.com.

What do you dislike about SimpleCV?

SimpleCV has some flaws like some API fails for python 2 and works efficiently for python 3. Apart from this everything else is fine and SimpleCV as a whole is a great library. Review collected by and hosted on G2.com.

Recommendations to others considering SimpleCV:

The use cases of Computer Vision are vast and after the boom of machine learning there are many new of them emerged. I think this is one of the domain that will lead to great careers. SimpleCV is one of the great source to learn Computer Vision as there are number of sources available they can serve you great learning. I highly recommend Computer Vision practitioners to go for SimpleCV. Review collected by and hosted on G2.com.

What problems is SimpleCV solving and how is that benefiting you?

As we at ML Hub we build solutions to real-world problems using the new-generation technologies. Computer Vision is one of them and SimpleCV is used to build Computer Vision applications. The optimal stack of algorithms provided by SimpleCV is core of any Computer Vision solution we develop in our organization.

This algorithms are used by thousands of people over years so we trust SimpleCV and use it in industry level products. Review collected by and hosted on G2.com.