Painting Classification using Hybrid CNN-XGBoost
- Team Members: Pranav Manjunath, Aiman Haider, Maobin Guo, Xinyi Pan
- Github Repo: Github Link
- Paper Link: Paper Link
- Video Link: Video Link
Summary
In this project, my team and I used a Hybrid CNN-XGBoost Model to classify paintings into its respective artist and style. The project looks at two CNN architectures, VGG-16 and ResNet50 to extract paintings features and a XG-Boost model to classify the paintings into its respective artist and style.