RF-DETR Seg — Segmentation AI Model
RF-DETR Seg Medium returns a separate mask per instance across the 80 COCO categories, so two overlapping people come back as two objects rather than one blob. Real-time, with a DINOv2 backbone and a mask head.
Details
- CategorySegmentation
- Year2026
- LicenseApache-2.0
Compliance & Provenance
- ProviderRoboflow (open) · Specialized
- EU AI Act RiskMinimal Risk
- Art. 50 TransparencyNot applicable
Inputs & Outputs
- ImageInput · image
Source image for instance segmentation
- ImageOutput · image
Per-instance masks rendered in distinct colors on a black background
- TextOutput · string
Detected instance labels with their mask color codes and confidence scores
Tags
Alternatives in Segmentation
- BiRefNet (Subject)
Cleanly extracts a single salient subject with high-resolution edges. ~1-3s.
- SAM2 (Scene)
Segment every object in an image (no labels needed). 10-30s.
- SAM3 (Scene)
Language-prompted segmentation (e.g. "person", "red car"). 10-30s/class.
- SAM3.1 (Scene)
Language-prompted segmentation — SAM 3.1 Object Multiplex with improved accuracy over SAM3. 10-30s/class.