April 7, 2024, 10:44 a.m. | /u/ml_a_day

Deep Learning www.reddit.com

TL;DR: Apple's approach combines pre-training, contrastive learning, embeddings and clustering to recognize people across diverse demographics.

Here is a visual guide covering the technical details: [How Apple uses Private On-Device ML for Person Recognition](https://open.substack.com/pub/codecompass00/p/apple-private-on-device-ml-person-recognition?r=rcorn&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true)

https://preview.redd.it/x87a4eotd1tc1.png?width=1158&format=png&auto=webp&s=3d802fca5c893cd0f24557c85e54114848263cdf

apple clustering deeplearning demographics diverse embeddings guide machine machine learning people photos pre-training training visual

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