Our project aims to develop a machine learning model to compare and contrast images sourced from Flickr, a platform with user-uploaded photographs, against those generated by ThisPersonDoesNotExist, which uses generative adversarial networks (GANs) to create lifelike human images. We'll evaluate the nuances in authenticity and quality
Transfer learning model using Xception architecture. By freezing the base model's weights, it retains learned features during training. Additional layers are appended to the model to adapt it for specific image classification tasks (enhancing performance and reducing overfitting)
Model was trained on 600 images, validated using 200 images and tested using 200 images.
Transfer learning model using Xception architecture. By freezing the base model's weights, it retains learned features during training. Additional layers are appended to the model to adapt it for specific image classification tasks (enhancing performance and reducing overfitting)
Model was trained on 600 images, validated using 200 images and tested using 200 images.