Hair-and-Skin-Segmentation (Kaggle Competition)

Machine Learning Project for Hair and Skin Segmentation using deep autoencoder

• Developed deep autoencoder using U-NET model for hair and skin segmentation using Keras
• Tested the U-NET model on Celeb-A dataset
• Practised data augmentation and transfer learning on the built model
• Used libraries such as keras, numpy, sklearn