This is a kaggle Challenge. Given a pair of images of 2 faces we have to determine whether they are related or not. Here I have used a Siamese network over VGG-facenet to tackle this problem.
Fork the solution notebook in Colab
To build a more complex model by determining if two people are blood-related based solely on images of their faces. Not every individual in a family shares a kinship relationship. For example, a mother and father are kin to their children, but not to each other. Below is the example of kinship where person in a specific row are related.
Here I have used a siamese architecture which is built using VGG-Face resnet. Loss used is binary_crossentropy. Optimizer is Adam. My latest submission scored around 0.792. Training and Validaiton metrics of Trained model are given below.
- Aditya Jain : Portfolio
This project is licensed under the MIT License - see the LICENSE.md file for details