Google’s machine learning software can now categorize ramen by shop

See the original posting on The Verge

Looks like it’s humans: 0, computers: 1 again. If you’re a big enough fan of ramen, maybe you can look at a photo of a tonkotsu bowl on Instagram and immediately recognize which restaurant it’s from. But computers have us beat, as they can now identify the exact shop a menu item came from, out of 41 seemingly identical bowls of ramen from the same restaurant franchise.

Data scientist Kenji Doi did the delicious research, using Google’s AutoML Vision to classify every menu item from Ramen Jiro, a Tokyo-based chain of ramen shops. He gathered about 1,170 photos from each of the 41 shops, and fed the dataset of 48,000 ramen photos to the software. It took AutoML about 24 hours (18 minutes, in a less accurate Basic mode) to finish training…

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