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I'm not sure what you mean by chunks of images. My understanding is that it's a perceptual hash meant to determine if it's the same image, with minor adjustment
by notJim 5y ago
I'm not sure what you mean by chunks of images. My understanding is that it's a perceptual hash meant to determine if it's the same image, with minor adjustments like cropping or adjusting the colors. There is no AI/ML classification running.
Apple says false positives occur at a rate of one in a trillion or something like that. Someone elsewhere in the thread calculated that this would not be frequent enough for false positives to trigger a manual review.
- cwkoss 5y agoThe perceptual hashing are being applied to a chunk of the image - not the whole image but some part of it. These chunks contain less entropy than the whole image so necessarily have higher chance of triggering false positives than whole-image comparisons.