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Image Classification Project

Overview

This project focuses on image classification using OpenCV for face and eye detection, and machine learning algorithms for classification tasks. The project utilizes Haar cascades for face and eye detection, and various machine learning models for classification.

Dependencies

  • OpenCV
  • NumPy
  • Matplotlib
  • Scikit-learn

Installation

  1. Clone the repository:

    git clone https://github.com/nky001/img-classification.git
cd img-classification

  2. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Ensure you have Python and the required libraries installed.
  2. Run the image classification script: 
    python image_classification.py

Components

Face and Eye Detection

The project uses Haar cascades for face and eye detection:

import cv2

face_cascade = cv2.CascadeClassifier("server/opencv/haarcascades/haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier("server/opencv/haarcascades/haarcascade_eye.xml")

Machine Learning Models

The project employs various machine learning models for classification, including:

  • Support Vector Machine (SVM)
  • Random Forest Classifier
  • Logistic Regression
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression

License

This project is licensed under the MIT License.

Feel free to modify and expand upon this template to better fit your project's specific details and requirements! Let me know if there's anything else you'd like to include or if you have any specific preferences.