Crowded scene with multiple removable people
There is no single obvious winner. Several people may count as distractions depending on the photo's purpose.
Demo Example
Clean up distractions in a busier group-style scene
Some removal jobs are not “one perfect click.” This demo example exists to set the right expectation for scenes that contain several possible distractions.
Cleaner composition after targeted removals
The scene improves through selection, review, and sometimes a second pass, not by assuming every crowded photo is an instant win.
Source note: based on internal demo material describing a busier smart-removal scenario. It is included to show edge-case expectations, not as polished public proof.
Why include a harder example
A truthful gallery should not only show easy wins. People need to understand that busier scenes may require a narrower crop, a second attempt, or a more selective definition of success.
How to use BOARD on scenes like this
Start by removing the one person or object that changes the composition most. Use compare view, then decide whether another pass is worthwhile.
See the simpler person-removal example
Compare this busy case against a cleaner one-person removal scenario.
Troubleshooting hard scenes
Use this if the first result is close but not quite right.
How BOARD works
Review the workflow so you know where retry and compare belong.
Have a crowded scene to test?
Start with the most disruptive distraction first. BOARD is still worth trying, but the right expectation is iterative cleanup rather than perfection-by-headline.
Start free