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🏆 Celebrity Image Classification

Overview

This project utilizes SVM Algorithm to classify images of celebrities,the model efficiently identifies and categorizes different celebrities based on image inputs, achieving 76% accuracy on the test set.

Installation

git clone [https://github.com/Lingesh-7/Image-Classification-Using-ML]
cd Image-Classification-Using-ML
pip install -r requirements.txt

Usage

1. Training the Model

python train.py --epochs 10 --batch_size 32

2. Running Image Classification

python predict.py --image path/to/image.jpg

3. Web-Based Prediction (Flask App)

python main.py.py

Visit http://localhost:5000 to upload images for classification.

Results

The model classifies celebrity images with 76% accuracy

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