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For Students · Convex Hull

Convex Hull for an image classifier

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate an image classifier live below — adjust the inputs and watch it respond, right in your browser.

Convex HullLive

Andrew's monotone chain

Controls

Presets

Points

The convex hull is the smallest convex polygon containing every point — the shape a rubber band snaps to. Drag any point on the canvas to reshape the set and watch the hull recompute live. Computed here with Andrew's monotone-chain algorithm in O(n log n).

▶ Run in Python

Data Inspector

Points30

Hull vertices0

ComplexityO(n log n)

Governing equation

(a - o) \times (b - o) \leq 0 \Rightarrow pop; h = 0 of 30

Reading this result: Add points and a boundary polygon appears — the hull is the smallest convex shape wrapping them all.

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Frequently asked questions

Is this good for students?: Yes — this version of "Convex Hull for an image classifier" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.