Visualtest AI model

hi Swiftester398 

thanks for your patience, this is a new community and surely the answers will come much quicker.

VisualTest uses a variety of algorithms to find visual regression bugs. As of today, for the web app comparisons we break the problem down to 3 parts:

1. object detection (what are the visible elements on screen)

2. object quantification (how does it look? what is it like?) 

3. object matching (what happened to each element across these two versions) 

we use various techniques for each section of the problem, but the end result is that you get a content aware comparison across the 2 versions of your app's screenshots. 

As we have an in house data science team, we are also fine tuning our deep learning models for release sometime next year in preparation for native mobile app support.

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Swiftester398 wrote:

Hi. Does anyone know what AI model does Visualtest uses to compare the images? Thank you

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Visualtest is a tool or service that allows users to compare images, but without up-to-date information, I cannot confirm the specific AI model it uses for image comparison.

VisualTest, developed by SmartBear, utilizes various image recognition and comparison algorithms. The specific AI model details are not publicly disclosed, but it employs advanced computer vision techniques to analyze and compare images for cookape testing purposes.