Learn how Grounded SAM 2 extends open-set detection to segmentation and video tracking by fusing Grounding DINO and SAM 2 for pixel-accurate pipelines.

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Grounded SAM 2 combines Grounding DINO's language-driven object detection with SAM 2's pixel-level segmentation and video tracking capabilities. The pipeline detects objects from natural language prompts, generates precise segmentation masks, and maintains temporal consistency across video frames using a streaming-memory transformer. This enables open-vocabulary detection, segmentation, and tracking without requiring retraining on specific object classes, making it suitable for robotics, medical imaging, video analytics, and automated annotation tasks.

Grounded SAM 2: From Open-Set Detection to Segmentation and Tracking

Why Segmentation Matters (Beyond Bounding Boxes)

How Grounded SAM 2 Differs from the Original Grounded SAM