U-Net Utilization on segmentation of Aerial Captured Images

A Convolutional Neural Network based on U-Net architecture was implement for object segmentation on Aerial captured Images. The architecture was modified by adding several dropout layers. The combination of several activation function, optimizer, and loss function was tested on the network, and the best combination giving Sorensen Dice Coefficient score of 0.86656 for the test set.