A software by Google can now recognize the different menu items of ramen chain Ramen Jiro. This is after data scientist Kenji Doi uploaded over 48,000 photos of ramen that he collected online to the machine software AutoML Vision. Google’s AutoML is an image recognition tool which uses patterns on pictures to classify and analyze data. It uses artificial intelligence in making its predictions, which are 94.5% accurate.

What may be indiscernible details to the naked eye are essential for the software. Doi initially thought that it identified the ramen based on the bowl’s appearance. However, the software was still able to accurately identify the items even with different bowls and table designs. Doi concluded that the software must be basing its predictions on the cuts of meat used as well as the plating.