P: Hide Non-Faces

You’ve hit on a fascinating computer vision edge case. As a designer who studies these layouts closely, I can tell you the modern Starbucks Siren is a masterclass in perfectly balanced, front-facing geometric symmetry. It ticks every structural box Lightroom’s algorithm uses to identify a human face—acting almost like a literal calibration target for the software. If you look at her exact facial proportions and design specs across different Starbucks Cups, it's clear why the AI gets tripped up by those clean vector lines.

From a technical workflow perspective, dismissing the tag won't train the system. Lightroom handles face tagging locally at the metadata layer. Choosing "Hide Face" or deleting the bounding box simply applies a localized null attribute to those specific coordinates so it stops populating your 'Unnamed' stack. It doesn't send negative-weight feedback back to Adobe's core machine learning model.

It won't mess up your existing indexing, but until Adobe updates its global model weights to filter out famous commercial marks, manual dismissal is our only option.Starbucks Cups