MNIST Handwritten Digit Recognition
Interactive demo showcasing a machine learning model trained on the MNIST dataset to recognize handwritten digits. Try drawing a digit below and see the prediction!
Prediction Result
4
Confidence: 98.2%
How to Use This Demo
Draw with Precision
Click and drag in the canvas to draw digits. The interface auto-smooths your strokes for optimal recognition.
Instant Recognition
Our machine learning model processes your drawing in milliseconds to predict and display the digit.
Understanding MNIST
MNIST (Modified National Institute of Standards and Technology) is a dataset of 70,000 handwritten digit images used extensively in training machine learning models.
Each image is 28x28 pixels in grayscale, categorized into 10 classes (digits 0 through 9). This demo uses a model pretrained on the MNIST dataset to mimic real-time digit recognition.
Model Performance
- 99.2% Accuracy on Test Set
- Real-Time Predictions
- Local Processing (No Data Sent)