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Browse files- .gitattributes +5 -0
- README.md +33 -13
- impression_sunrise.jpg +3 -0
- les_demoiselles.jpg +3 -0
- mona_lisa.jpg +3 -0
- requirements.txt +0 -0
- starry_night.jpg +3 -0
- the_scream.jpg +3 -0
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README.md
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# Art Style Classifier
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An interactive deep learning model that identifies 27 different artistic styles from paintings.
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## About
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This project uses a fine-tuned ResNet34 model trained on the ArtWiki dataset containing over 50,000 images across 27 distinct art styles from Realism to Abstract Expressionism.
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## Features
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- Classifies paintings into 27 artistic styles
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- Provides confidence scores for top predictions
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- Includes information about each art style
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- User-friendly interface built with Gradio
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## Performance
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- 74.2% accuracy across all 27 classes
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- 76.2% precision and 74.2% recall
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- Particularly strong at recognizing distinctive styles like Pointillism (90%+ accuracy)
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## Technology
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- Transfer learning with ResNet34
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- Data augmentation techniques including rotation, flipping, and random cropping
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- Class imbalance handling through weighted sampling
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- Trained on MacBook with M3 Apple Silicon
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## How to Use
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1. Upload an image of a painting
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2. View the predicted art style with confidence scores
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3. Learn about the characteristics of the predicted style
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impression_sunrise.jpg
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les_demoiselles.jpg
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mona_lisa.jpg
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requirements.txt
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starry_night.jpg
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the_scream.jpg
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