face Detection WIth Googlenet

Context

Face detection has been an important topic in the past years. As a matter of fact, face detection is needed when it comes to face recognition. Devices, such as mobile phones use face detection/recognition for unlocking and even cameras when making portraits of people and in other situations. This field is very challenging. Indeed, faces have a lot a shapes, colors and features. So, a lot of methods have been created to find models able to detect faces on images regardless of their orientations and image brightness.

The project

The idea of this project is to use a pre-trained GoogleNet model and fine-tune it in order to make some face detection.

The related code for this project is available here.

For more details, you can access a paper I wrote about it

Stack

Python: Pytorch