Google had some dorky fun recently with an April Fool’s announcement of a Cloud Hummus API:

Silly, yes—but apparently not as far-fetched as you’d think. Check out computer vision being trained to identify ramen by shop:

Recently, data scientist Kenji Doi used machine learning models and AutoML Vision to classify bowls of ramen and identify the exact shop each bowl is made at, out of 41 ramen shops, with 95 percent accuracy. Sounds crazy (also delicious), especially when you see what these bowls look like. […]

You don’t have to be a data scientist to know how to use it—all you need to do is upload well-labeled images and then click a button. In Kenji’s case, he compiled a set of 48,000 photos of bowls of soup from Ramen Jiro locations, along with labels for each shop, and uploaded them to AutoML Vision.

Days of miracles and wonder… and ramen.

[YouTube]