Damage-Image-Classification

Image classification algorithms written during 2020 Summer either for or to learn for my UROP (undergraduate research) at MIT's Urban Risk Lab.

Algorithms used:

• Convoluted Neural Network
• Random Forest
• XGBoost

Libraries:

• Tensorflow
• Pandas
• Keras
• Seaborn
• Matplotlib
• Numpy

CNN Files:

• Combined — CNN None Versus Some combined with CNN (Normal)
• 3 Category
• 3 Category, K-Fold
• 2 Category
• 2 Category, K-Fold
• MobileNet V2

Random Forest Files:

• Damage Classifier
• Random Forest and CNN Combined

XGBoost Files:

• Damage Classifier

Learning/Practice Files:

• Random Forest Handwritten Digits