This machine learning model is designed to classify portraits from the Napoleonic era, specifically focusing on military individuals. The ResNet50-based model determines whether the depicted person belongs to the Russian or French army by analyzing uniform details, weaponry, and other distinctive features. It provides accurate classifications for portraits, making it a valuable tool for historical image analysis.
- ResNet50 architecture
- Trained on portraits from the Napoleonic era
- Classification of individuals into Russian or French army
- Emphasis on uniform details and weaponry for precise analysis
- Historical image analysis
- Identification of military affiliation in portraits
- Educational and research purposes
Feel free to use and experiment with the model to explore the military history of the Napoleonic era through portraits.