Gender Determination from Pictures with CNN Models
Ercan Buluş · 2021 6th International Conference on Computer Science and Engineering (UBMK) · 2021
Today, it is desired to make various inferences from images quickly with artificial intelligence methods. One of the most important reasons for this is the increase in social media environments. On the other hand, it is desired to evaluate the images with artificial intelligence methods for security purposes. In this study, it was investigated how much the determination of the gender of a person from a face photograph can be done with existing methods. For this purpose, two of the widely used Convolutional Neural Network (CNN) methods were selected. The selected methods are caffemodel and vggl6 model. The accuracy of both methods was tested for the prepared male and female face images.