We use state-of-the-art computer vision and Deep Learning algorithms to estimate the age of the persion in the picture. First, we extract the face of the image and normalize it. For that, we use the open-source project OpenCV.

The actual facial age detection is performed by a customized Deep Neural Network based on the ResNet architecture which was shown to produce good results on various image analysis tasks.

We trained the Neural Network with a dataset consisting of thousands of facial images with age labels and verified that the model is working with a testing dataset that has not been used during the training phase.

Read the full blog post about the technical details here .

Your chronological age is the number of years you have been alive. Your biological age indicates how old your body appears to be based on a number of factors. Biological age, also known as physiological age, takes into account many lifestyle factors, such as diet and sleep habits, to name 2 examples. Many gerontologists believe that chronological age is an incomplete number because it does not take into account these external factors. Read more here.