This repository is containing 200.000 raw images and 100.000 preprocessed 10 years challenge images and implementation details.

1 - You can use these datasets with providing the dataset publisher who is me :).

• The raw images (640x640)

2 - Preprocessed data ( This dataset has problem that some old and young images are in wrong class. The users should change it. It needs crowd sourcing. )

• Old Images (256x256)
• Young Images(256x256)

1 - Opencv face detector used to detect faces in the raw images. --> Face Detector

2 - The images have two faces detected and the faces are cropped.

3 - Face alignment is applied that uses affine transformation and Dlib face landmark detection. --> Face Alignment

1 - 994 preprocessed images is selected.

2 - pix2pix model is used for creating 10 years changed image.

3 - After 200 epochs and approximately 10 hours( I know the training dataset small and training is limited due to that I used Google Colab as a resource for training. )

• +13 :P

• Due to high variability of faces that age and ethnicity difference, the head pose and glasses and other materials reconstructing the faces is challenging. I believe using head pose estimation will improve training results.

• Since the dataset is collected from internet, therefore, the images that is almost 10 years old. The image quality is relatively low quality to process.

• I will use more training images when I found time and computing power. Therefore, this repo will be updated...