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[USER=4695]@Ryan Everson[/USER] We use CV (Computer Vision) for image classification too. Another use case for CV is seen in your screenshot:[ATTACH=full]8207[/ATTACH]Photographer & Photo Stage Scoring.Different stores and different photographers create a wide range of photo quality. CV struggles when it gets poor pics. The cause is usually the photographer and/or the photo lighting (i.e. the photo stage).I've not tried this, but what if you rolled up CV's "Confidence Threshold" data into a report. Woa metadata could reveal strengths and weaknesses. By photographer, by time of day, by class (i.e. "far-cockpit"), by exterior or interior, and by VIN (i.e. needs photo reshoot?)A classic DR leading edge contribution, ty Ryan! Good stuff!
[USER=4695]@Ryan Everson[/USER] We use CV (Computer Vision) for image classification too. Another use case for CV is seen in your screenshot:
[ATTACH=full]8207[/ATTACH]
Different stores and different photographers create a wide range of photo quality. CV struggles when it gets poor pics. The cause is usually the photographer and/or the photo lighting (i.e. the photo stage).
I've not tried this, but what if you rolled up CV's "Confidence Threshold" data into a report. Woa metadata could reveal strengths and weaknesses. By photographer, by time of day, by class (i.e. "far-cockpit"), by exterior or interior, and by VIN (i.e. needs photo reshoot?)
A classic DR leading edge contribution, ty Ryan! Good stuff!
