Every cabinet face, worktop, splashback and floor in a listing photo cut as its own editable region.






Interior listing photographs were segmented surface by surface so that a downstream renderer could recolour or replace any single element without touching the rest of the room. Each cabinet run, worktop, splashback, appliance and floor plane received its own polygon and class.
The work sits behind a virtual restyling product, so boundary precision matters more than it would for a detection dataset. A worktop mask that bleeds a few pixels onto the cabinet below produces a visible halo the moment the surface is recoloured.
A per-surface segmentation set precise enough to drive photo-realistic restyling, with clean joins between adjacent classes and no halo artefacts when a single surface is recoloured.
Delivered per-surface polygon masks with a consistent class palette across the set, checked at high zoom and ready for virtual staging and surface replacement.

Tiling, sanitaryware and vanity units separated per surface, through the glare and reflections bathrooms are full of.

Door leaf, frame, architrave and skirting separated as four classes so each can be refinished on its own.
Picture frames masked and faces boxed in property photos, separating real faces from artwork for automatic privacy blurring.