Image Classification Playground

Experience the power of machine learning by training your own image classifier directly in your browser. This interactive playground lets you create custom categories, upload training images, and watch as the neural network learns to distinguish between them. Perfect for understanding how AI image recognition works, with features including real-time training visualization, accuracy metrics, confusion matrix, and model export capabilities. No coding required!
Custom Categories Real-time Training Confusion Matrix Model Export Transfer Learning
Creative Studio
Cats vs Dogs classifier
Product defect detection
95% accuracy achievable

Image Classification Playground

Experience the power of machine learning by training your own image classifier directly in your browser. This interactive playground lets you create custom categories, upload training images, and watch as the neural network learns to distinguish between them. Perfect for understanding how AI image recognition works, with features including real-time training visualization, accuracy metrics, confusion matrix, and model export capabilities. No coding required!

Training Categories
Add at least 2 categories to start training
Training Configuration
20 epochs
0.001
Quick Start
Tips
  • Use 20+ images per category for best results
  • Keep images clear with centered subjects
  • Balance the number of images per category
  • More epochs = better accuracy (but slower)
Model Status

Loading TensorFlow.js models...

This may take a few seconds on first load
Training Progress Not Started
Test Your Model

Drag & drop an image here or click to browse

Export Options

Help & Related Tools

Everything you need to know

FAQ Frequently Asked Questions

What features does the Image Classification Playground offer?
Create custom image categories, upload training images via drag-and-drop, watch real-time training progress with loss graphs, view confusion matrix for accuracy analysis, test with new images, and export your trained model for use in applications. Uses transfer learning for faster training.
How do I train an image classifier?
First, create 2-5 categories (like cats and dogs). Upload at least 10-20 images per category using drag-and-drop. Click Train Model to start the process. Watch the accuracy improve in real-time. Once trained, test with new images or export the model.
What image formats and sizes are supported?
The tool supports JPG, PNG, and WebP formats up to 10MB per image. Images are automatically resized for training. For best results, use clear images with the subject centered. All processing happens in your browser for complete privacy.
How accurate can the classifier become?
With 50+ quality images per category, you can achieve 90-95% accuracy. The tool uses transfer learning from MobileNet, which provides excellent results even with limited data. Accuracy depends on image quality, category distinctiveness, and training dataset balance.
Can I use the trained model in my own application?
Yes! After training, export your model as TensorFlow.js format. The download includes the model files and example JavaScript code for integration. You can use it in web apps, Node.js, or even convert it for mobile applications.

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