This project is implemented for Boston University, EC601 Mini Project #2. The goal of this Mini Porject is to train a simple machine learning model to recognize two categories.
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I trained this model to recognize the beloning of an art work: Van Gogh or Claude Monet.
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The training dataset includes 897 Van Gogh's paints and 975 Claude Monet's paints.
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The testing dataset includes 200 paints (100 for Van Gogh and 100 for Monet).
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Here are two Sample paints:
- Van Gogh
- Claude Monet
- The model test accuracy is: 0.715
- Chunpeng WANG - Initial work - CliffWang113