Semantic Segmentation of Buildings from Color Aerial Images Using Convolutional Neural Networks
This is an ongoing self - initiated project which is concerned with improving the generalization of trained Artificial Intelligence (AI) models for detecting buildings from any place in the world, by exploring different techniques of training and ensemble models as constrained by practical issues such as the lack of large training dataset etc.