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The order that vehicle photos are arranged in a photo carousel can make a huge difference in user experience and lead conversion.We have a preferred "standard" of what photos to take and in which order, but with countless different photo providers and the churn that comes along with that type of entry-level position, the adherence to our preferred standard does not even come close to 100%.That's why instead of relying on human consistency, we're developing a computer vision model that is trained on our vehicle photography and can automatically re-arrange photos into our desired order, and remove any photos that we do not want (for example: 4 separate photos of each tire tread or a photo of the VIN sticker).Yet another great use case for AI.[ATTACH=full]8201[/ATTACH]
The order that vehicle photos are arranged in a photo carousel can make a huge difference in user experience and lead conversion.
We have a preferred "standard" of what photos to take and in which order, but with countless different photo providers and the churn that comes along with that type of entry-level position, the adherence to our preferred standard does not even come close to 100%.
That's why instead of relying on human consistency, we're developing a computer vision model that is trained on our vehicle photography and can automatically re-arrange photos into our desired order, and remove any photos that we do not want (for example: 4 separate photos of each tire tread or a photo of the VIN sticker).
Yet another great use case for AI.
[ATTACH=full]8201[/ATTACH]
