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Welcome to the Object Classifier Web App! This application allows you to classify objects using your device's camera. Simply turn on your camera, show the object (either a book or a phone), and the app will display the predicted label and percentage confidence.

Home Page: https://wassimoubaziz.github.io/train-classifier/

License: MIT License

HTML 45.69% JavaScript 54.31%
ai artificial-intelligence classification css html javascript machine-learning ml5-js ml5js oubaziz

train-classifier's Introduction

πŸ–ΌοΈ Object Classifier Web App

Welcome to the Object Classifier Web App! This application allows you to classify objects using your device's camera. Simply turn on your camera, show the object (either a book or a phone), and the app will display the predicted label and percentage confidence.

🌟 Overview

The Object Classifier Web App provides a convenient way to classify objects in real-time using your device's camera. Whether you want to identify a book or a phone, this app leverages machine learning to provide accurate predictions.

✨ Features:

  • Real-time Object Classification: Turn on your camera and show the object to classify it as either a book or a phone.
  • Custom Model Training: Train a custom classifier by providing labeled images and generate model files for classification.
  • Save and Load Model: Save the trained model files and load them for future use.

πŸš€ Technologies Used:

  • HTML
  • CSS
  • JavaScript
  • ml5.js (for machine learning)

πŸ’‘ How to Use:

  1. Open the Object Classifier Web App in your web browser.
  2. Turn on your device's camera.
  3. Hold up an object (book or phone) in front of the camera.
  4. The app will classify the object and display the predicted label along with the percentage confidence.

πŸŽ“ Training Custom Model:

  1. Click on the "Train Model" button to start training a custom classifier.
  2. Provide labeled images of books and phones for training.
  3. After training, click on the "Save Model" button to save the model files.
  4. Copy the generated model files and replace the existing ones in the app directory.

🌈 Demo:

Explore the Object Classifier Web App - Add link to your deployed app.

🀝 Contribute:

Contributions are welcome! If you have ideas for enhancements or additional features, feel free to open an issue or submit a pull request.

πŸ“£ Feedback:

Share your experience using the Object Classifier Web App. If you encounter any issues or have suggestions for improvements, connect with me on LinkedIn or open an issue.

Start classifying objects with the Object Classifier Web App today! πŸ“ΈπŸ”

made by Wassim Oubaziz

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