Assessment of damaged buildings during natural disasters from satellite imagery

It's Machine Learning & Deep Learning based project, where we have to do Object Detection/ Semantic Segmentation and its Classification. Dataset is already downloaded, Just need some pre-processing & training of the model. Model selection based on your own choice whichever is better. If getting a good accuracy then it's okay otherwise we have to hyper-tune it.