Segment Masks

Summary: Pixel‑accurate segmentation that emits per‑class masks aligned to each frame for overlays and measurements.

Use This When

• You need pixel‑accurate regions (semantic/instance segmentation) beyond bounding boxes.
• You’re computing coverage, shapes, or per‑class areas for QA or analytics.

What It Does

• Runs a segmentation model and emits masks aligned with each frame.
• Produces overlay‑friendly outputs for human review.

Works Best With

• Visualization components and metrics/post‑processing that derive stats from masks.

Caveats

• Thin/transparent objects are harder; higher input resolution helps at a compute cost.