The keras model is created by training SmallerVGGNet from scratch on around 2200 images (~1100 for each class) gathered from Google Images. It acheived around 95% training accuracy and ~85% validation accuracy. (20% of the dataset is used for validation)

• numpy
• opencv-python
• tensorflow
• keras

Install the required packages by executing the following command.

$ pip install -r requirements.txt

Note: This repo works on Python 3.x

$ python classify_gender.py -i <input_image> -m gender_classification.model

Feel free to create a new issue or reach out on twitter @ponnusamy_arun.