Background Removal for Ecommerce
Background removal is not a cosmetic step; edge quality is a trust signal. In one 1,200-image accessories batch, edge halos and fringe accounted for 27% of QA rejects.
Process Snapshot
1. Classify edge complexity (hard/soft/mixed).
2. Build base pen path for structure.
3. Refine mask on hair/fabric/transparent zones.
4. QA on light and dark backgrounds.
5. Check high-risk zones at 200% zoom.
Where this fails
If source images have motion blur or poor contrast, perfect cutouts may require reconstruction.
Measurement
- Halo-related rejects before controls: ~27%
- Reject rate declined after dual-background QA and tighter feather tolerance.
*Reviewed by Post-Production QA Lead, May 2026.*