CVEDIA Pros and Cons

I was looking for an algorithm for object detection for my project and I wanted it done within weeks and CVEDIA delivered the functional model in weeks. The ability to build algorithms which do not require any real data is a good thing. Review collected by and hosted on G2.com.

The amount of control over the training dataset, at least in part even synthetic, seems to be fairly low. In some of the tasks which need very precise recognition of an object, It was not very flexible in the modeling. Review collected by and hosted on G2.com.

The working speed of CVEDIA is very fast, and most importantly, it does not compromise on the data security of users. I was tasked with designing a counting algorithm for a new retail location, but employing field data collection was possible. Review collected by and hosted on G2.com.

CVEDIA has not inbuilt algorithms for basic uses such as people counting; customizations for difficult cases appear restricted. I tried to further modify it to distinguish between adult and child profiles, but it was tiresome. Review collected by and hosted on G2.com.

CVEDIA has been useful particularly when real-world data collection is a challenge, and choosing this tool I was able to get a working computer vision algorithm in a couple of weeks. Review collected by and hosted on G2.com.

Solving the case with generated algorithms doesn’t appear to have a wide range of choices for customization. There were few parameters to fine-tune or many ways to incorporate domain knowledge to the training process. Review collected by and hosted on G2.com.