
The sample processes a curated set of frames, ranks them with Vision's aesthetic scoring, then compares feature-print observations to avoid near-duplicates before returning the strongest thumbnail options.
Apple Developer Documentation
Alongside the visionOS collection, I also contributed to this sample during my Apple internship, teaching developers how to implement Vision's AI/ML frameworks for perceptual similarity and automated frame scoring.
A quick look at how the sample scores frames and selects cleaner thumbnail candidates from video.

The sample processes a curated set of frames, ranks them with Vision's aesthetic scoring, then compares feature-print observations to avoid near-duplicates before returning the strongest thumbnail options.