AI for Food Detection


Feb. 20

2.08 K


“Four simple ways to fight diabetes/Obesity: Go for regular medical check-ups; Exercise more; Watch your diet, and Cut down on soft drinks.” – Singapore PM Lee Hsien Loong (Nvidia Research paper)

Increase in obesity rates associated with poor nutrition in countries worldwide has encouraged numerous researchers to develop mobile applications or online tools that promote a healthier lifestyle.

NutriChecker, an AI driven mobile app developed by Let’s Nurture, is an easy to use wellness tracker for individuals and families. When a user points his smartphone camera to a plate containing his/her meal, the app instantly recognizes the meal along with different Ingredients.

What is the primary requirement to start working on Image classification problems?

The answer is “Data”. In the world of Big Data, you can find thousands of images online which can be useful for us as labelled Data. We’ve used Food101 Datasets from Kaggle.

In the paper, Food-101 – Mining Discriminative Components with Random Forests, they introduce the Food-101 dataset. There are 101 different classes of food, with 1000 labelled images per class available for supervised training.

How CNN actually see the images?

A CNN (convolutional neural network or ConvNet) is one of the most used and effective algorithms for deep learning, in which a model learns to perform classification tasks directly from images, video, text, or sound.

In the past couple of years, cutting edge technology has started to become available to the software development community. Industrial strength packages such as Tensorflow have given us the same building blocks that Google uses to write deep learning applications for embedded/mobile devices to scalable clusters in the cloud and stochastic optimizers that make efficient applications possible.

On top of all of this, user-friendly APIs such as Keras that abstract away some of the lower-level details and allow us to focus on rapidly prototyping a deep learning computation graph.

Images with their true classes


Our Artificial intelligence has been trained on diets from the global and accuracy constantly improves as new cuisine images are added to the database.

Why choose Let’s Nurture for Image classification?

Let’s Nurture is a North America  web development agency with a strong focus on AI technology. We specialize in developing innovative solutions for the food and beverage industry, leveraging the latest technologies to drive growth and success for our clients.

If you’re looking for a reliable and experienced app development partner with AI capabilities, look no further than Let’s Nurture. Our team of experts is dedicated to delivering exceptional results and is eager to work with you to bring your vision to life.

Don’t hesitate to contact us to learn more about our capabilities and how we can help drive your success. Reach us at, and we would be happy to discuss your project in detail.


Lets Nurture
Posted by Lets Nurture

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