Cats vs Dogs Image Classification using SVM

Overview

This project is part of the SkillCraft Technology Machine Learning Internship (Task 03). The goal is to classify images of cats and dogs using a Support Vector Machine (SVM) classifier.

Dataset

Images of cats and dogs were used and preprocessed by resizing and converting them into numerical feature vectors.

Workflow

• Data Collection
• Image Preprocessing
• Feature Extraction
• Train-Test Split
• SVM Model Training
• Model Evaluation

Technologies Used

• Python
• OpenCV
• NumPy
• Matplotlib
• Scikit-learn
• Jupyter Notebook

Model

Support Vector Machine (Linear Kernel)

Results

The model achieved reasonable accuracy in distinguishing between cat and dog images.

Conclusion

This project demonstrates a basic image classification pipeline using machine learning techniques.

Author

Sowmya Bakka
Machine Learning Intern - SkillCraft Technology