Eating an Epic Meal? Google Wants to Share your Experience

Google wants to know anything and everything about our lives, from knowing where we live by accidentally searching more than 3 times to your home address or predicting the calories in your food. Well, now the information super giant wants your photos of food while you are dining out, or if you’ve just made something that looks good.

In recent years, Instagram users have taken pictures of their food and applied all manners of filters to show off the fact they’re eating out and you’re not and don’t lie, you’ve done it at one point too. Deep down you know that was shameful and people looked at you, but now Google wants those pictures too so you have a reason.

The feature, dubbed “Photo Notifications”, is only currently available to high-ranking members of the Google Maps “Local Guides” community. It works by scanning your pictures for identifiable food and requests for them to be uploaded to a central server and load them onto Google Maps for others to view.

This move could be another step towards Google becoming the ‘One Stop Shop’ for all of your information needs (if it already isn’t). Will you be interested in uploading your meals to the cause or would you use the system yourself to check out the quality of the food? Let us know in the comments.

Thank you to Android Police for providing us with this information.

Google Wants to Predict the Calories in Your Food

We’ve heard that Facebook is keen on finding talented people in the AI field by opening a new research lab in Paris, but what is Google up to with its own AI research? The latest news shows that Google is more interested in what you eat rather than where you take your photos.

Google revealed that it is working on a project called Im2Calories at the Rework Deep Learning Summit in Boston, where scientist Kevin Murphy revealed that they are working on predicting how many calories you have in your food. They want to achieve the latter by having an algorithm analyse a photo of your meal, but don’t think it’s as simple as distinguishing colours.

Murphy said that the app is still not accurate enough for distinguishing appropriate calories in meals, but he believes that if there’s a 30% chance of success rate, the app will be a success itself. It might not look as much, but a lot of data needs to be processed and adapted in order to shape the algorithm and have it give out more accurate results in the future.

Though Google filed a patent for its Im2Calories app, it is not yet quite clear when they plan on releasing it or if they even want to release it in the first place. However, Murphy added that the data from the app will prove to be very useful for bigger deep learning projects in the future. They plan on moving on to analysing traffic and predicting things like where the most likely parking spot is, specific details from cars that pass through an intersection and so on.

Thank you Popular Science for providing us with this information
Image courtesy of ithicasking