implement a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset. 🐶🐱 Cat vs. Dog Image Classifier This project is a Streamlit web app that classifies uploaded images as cats or dogs using an SVM model with HOG (Histogram of Oriented Gradients) features.
✅ Features 📸 Upload any JPG/PNG image.
⚙️ The app automatically extracts HOG features.
🧩 Uses a pre-trained SVM model (model.sav).
✅ Gives instant classification: cat or dog.
⚙️ Requirements Python 3.7+
streamlit
joblib
scikit-image
Pillow
numpy