IconSplit
Public Benchmark

Icon sheet extraction benchmark

This benchmark records what automatic extraction found, what a human reviewer expected, and where the current detector failed. It is designed to make IconSplit's strengths and limits inspectable rather than hiding them behind a single success rate.

Flat icon sheet with twenty-five icons used in the extraction benchmark

Reviewed baseline results

These results were generated from the same browser-side extraction path used by the product and manually reviewed against the visible source icons. Runtime is a local measurement, not a universal speed claim.

FixtureExpectedDetectedRuntimeReviewed outcome
Flat grid2526660 msOne extra region
Hand-drawn grid5049701 msOne missed icon
Translucent glass grid9Not scoredTimed outKnown failure case

Baseline recorded July 11, 2026. A timed-out fixture is reported as unscored, not converted into a favorable percentage.

Flat twenty-five icon grid benchmark source

Flat grid

Regular spacing and opaque subjects are the detector's strongest case. The extra region shows why preview and removal remain necessary.

Hand-drawn fifty icon grid benchmark source

Hand-drawn grid

Light strokes, uneven edges, and smaller subjects increase the chance that one icon is merged with background noise or missed.

Translucent glass icon grid benchmark source

Translucent glass grid

Low-contrast transparent boundaries are intentionally kept as a visible failure case. Manual selection can crop them, but clean background removal is not yet reliable.

What is measured

Expected visible icons, returned regions, reviewed false positives or misses, and local processing time. Extraction quality is judged before any manual correction.

What is not measured

The benchmark does not claim universal accuracy, compare unreviewed competitors, or treat processing speed from one machine as a service-level guarantee.

How to reproduce it

Upload each fixture through the homepage, keep automatic detection settings at their defaults, and compare the result list with the visible source icons.

Why preview and manual correction still matter

Automatic extraction is a proposal, not an irreversible export step. A dense or translucent source can create an extra crop, miss a small icon, or include a nearby fragment. IconSplit keeps the detected regions visible so users can remove a false result, repair an edge, or switch to manual selection before exporting.

Related workflows