How do I simulate an image classifier?

Open this page and use the live Naive Bayes tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive an image classifier from your own measurements.

Use case · powered by Naive Bayes

Naive Bayes for an image classifier

Simulate an image classifier live in your browser. This runs the real Naive Bayes solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:Students Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders

Naive Bayes ClassifierLive

classification by probability

Controls

Presets

Class 1 mean

Class 2 mean

Spread σ

Prior P(class 1)

Naive Bayes models each class as a probability distribution and assigns a new point to whichever class makes it most likely, weighted by the prior. Where the weighted curves cross is the decision boundary. It is fast, simple, and famously strong on text. Educational tool.

▶ Run in Python

Data Inspector

Decision boundary0.28

Class overlaplow (easy)

Governing equation

P (C ∣ x) \propto P (C) N (x; μ_{C}, 1), P (C_{1}) = 0.5, \hat{C} = ar g C max

Reading this result: Well-separated classes with a balanced prior put the boundary right between the means, exactly where the two weighted curves cross.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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About this simulation

The full Naive Bayes tool models an image classifier with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

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Frequently asked questions

How do I simulate an image classifier?: Open this page and use the live Naive Bayes tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive an image classifier from your own measurements.