This project uses a pretrained ResNet model to classify images into multiple categories. You can define as many classes as needed.
Class mapping example:
0 – Class 1
1 – Class 2
2 – Class 3
N – Class N (add as many as required)
data/ # Dataset folder
src/ # Source code
checkpoints/ # Saved model weights
run.py # Script to train and evaluate the model
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Clone the repository:
git clone <repo-url> cd <repo-folder>
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Install required dependencies:
pip install -r requirements.txt
To train and evaluate the model, run:
python run.py