Image BG Removal

Not every image needs the same kind of background removal — logos and photographs break in very different ways, and this pipeline treated them accordingly.

The Brief

An apparel business needed backgrounds stripped from artwork automatically, so it could be prepped cleanly for embroidery or garment printing at scale.

The Approach

The pipeline branched by image type. Flat-color logos ran through a lightweight custom algorithm built around a modified flood-fill technique. Photographic images went through a heavier vision pipeline: object detection to isolate the subject, followed by an ensemble of pretrained segmentation models (including PointRend), refined with a GrabCut pass to tighten the final cutout edges.

• Custom flood-fill algorithm for flat-color graphics
• Object detection + PointRend segmentation ensemble for photos
• GrabCut refinement for clean edges

The Outcome

A single service that handled both simple vector-style graphics and complex real-world photography, reportedly reaching 97-99% accuracy on the photographic cases.