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A Python-based application that allows users to classify images captured from their webcam. The application leverages a simple machine learning model (LinearSVC) to categorize images into two predefined classes. The GUI is built using Tkinter, and OpenCV is used to handle the webcam input.

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AreebEhsan/Real-Time-Camera-Image-Classifier

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Real-Time Camera Image Classifier using Machine Learning

Real-Time Camera Image Classifier using Machine Learning is a Python-based application that allows users to classify images captured from their webcam. The application leverages a simple machine learning model (LinearSVC) to categorize images into two predefined classes. The GUI is built using Tkinter, and OpenCV is used to handle the webcam input.

Features

  • Real-time Webcam Capture: The application captures images in real time using your computer's webcam.

  • Image Classification: Classify images into two user-defined categories using a trained SVM model.

  • Automatic Prediction: An optional auto-prediction mode that continuously classifies the webcam feed in real-time.

  • Reset Functionality: Easily reset the model and start a new classification session.

  • GUI with Tkinter: A user-friendly graphical interface for easy interaction with the application.

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A Python-based application that allows users to classify images captured from their webcam. The application leverages a simple machine learning model (LinearSVC) to categorize images into two predefined classes. The GUI is built using Tkinter, and OpenCV is used to handle the webcam input.

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