This repository contains an art style classifier built using a pretrained neural network. The classifier can identify and categorize art into three groups: Cubism, Surrealism, and Abstract Expressionism.
In this solo project, I:
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Data Collection and Preprocessing: Curated a dataset of around 200 images per art style type from DuckDuckGo image search.
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Model Fine-Tuning: Fine-tuned a pretrained neural network to recognize distinct features for each art style type.
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Performance Evaluation: Assessed the classifier's accuracy and generalization on new images.
- Clone this repository:
git clone https://github.com/RogerA11/Art-Style-Classifier-Model.git
- Navigate to the repository:
cd Art-Style-Classifier-Model
- Open and run
artstyleclassifier.ipynbto explore the project details.
For questions or collaboration, reach out to me via GitHub or email at roger.arendse713@gmail.com
Thank you for your interest in the Art-Style-Classifier-Model project!