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Art-Style-Classifier

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.

Overview

In this solo project, I:

  1. Data Collection and Preprocessing: Curated a dataset of around 200 images per art style type from DuckDuckGo image search.

  2. Model Fine-Tuning: Fine-tuned a pretrained neural network to recognize distinct features for each art style type.

  3. Performance Evaluation: Assessed the classifier's accuracy and generalization on new images.

Usage

  1. Clone this repository:
git clone https://github.com/RogerA11/Art-Style-Classifier-Model.git
  1. Navigate to the repository:
cd Art-Style-Classifier-Model
  1. Open and run artstyleclassifier.ipynb to explore the project details.

Contact

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!

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