Portrait Vision
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Built by volume photographers for volume photographers!
We are bringing AI powered computer vision models to the market so that photography businesses can gain unprecedented insight into the portraits they capture!
Companies that use our services do so to facilitate one or more of these business objectives:
1. Identify value metrics that can generate new revenue streams.
2. Automate work-flow processes that improve customer experiences and/or business processes.
3. Improve business and marketing decision making with hard data gleaned from content.
4. Evaluate and report on quality metrics of content capture systems.
5. Improve quality of customer experiences by monitoring and reporting on live capture streams.
Checkout our newest model, upload your own school portrait to see how well your subject is engaged. This model will process the image and check to see if the subjects eyes are open and return scores for happiness and smile as well as composition scores for horizontal positioning and vertical centering and head size.
Scores - 5 is highest
Eyes Open
Yes
Happiness
1-5
Smile
1-5
Composition
1-5
Head Size
1-5
Lateral Centering
1-5
Horizontal Position
1-5
Total Score
1-5
Minimum head width is 60 pixels. Use capture aspect ratio of 1.5, keep image sizes small to speed processing. Maximum image file size is 2 mega-pixels. This model was created for K-11 students. Select crop-guide and upload.
Our first model was created to determine which poses are acceptable for publishing in the school yearbook. Many students don't pay attention to the instructions for choosing poses for the yearbook or will ignore them because they care more about their expressions. The manual processes that were in place to prevent it from happening were fraught with human error due to the wide variety of pose types chosen by school yearbook advisors for their schools. These issues were solved by this model.
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This model delivers demographic data for all subjects in family portraits, it was developed to allow the photography business to generate advertising revenue by displaying coupons on web pages where digital files could be downloaded and by printing them in the border area of the prints that were purchased. Advertiser's could target whatever demographic they wanted to.
