Zero Shot Segmentation

Zero-shot segmentation models generate segmentation masks from text prompts.
Filter Models
Filter By Task
Object Detection
Classification
Instance Segmentation
Semantic Segmentation
Keypoint Detection
Vision-Language
OCR
Pose Estimation
Chart Question Answering
Document Question Answering (DocQA)
Video Classification
Open Vocabulary Object Detection
Multi-Label Classification
Region Proposal
Phrase Grounding
Referring Expression Segmentation
Zero Shot Segmentation
Filter By Feature
Foundation Vision
Multimodal Vision
LLMS with Vision Capabilities
Image Embedding
Real-Time Vision
Zero-shot Detection
Image Captioning
Image Similarity
Image Tagging
Visual Question Answering
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Apply
Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using Roboflow Inference.
Showing
 
of
models.

Grounded SAM

GroundedSAM combines Grounding DINO with the Segment Anything Model to identify and segment objects in an image given text captions.
Zero Shot Segmentation
Deploy with Roboflow
•
GitHub Repo
•
14.0k
stars
•
Apache 2.0
license
•
Released
Jan 25, 2024

Grounded EdgeSAM

Grounded EdgeSAM is a combination of Grounding DINO, a zero-shot object detection model, and EdgeSAM, a fast zero-shot image segmentation model.
Zero Shot Segmentation
Deploy with Roboflow
•
GitHub Repo
•
stars
•
license
•
Released
Visual Question Answering
Image Tagging
Image Similarity
Image Captioning
Zero-shot Detection
Real-Time Vision
Image Embedding
LLMS with Vision Capabilities
Multimodal Vision
Foundation Vision

Frequently Asked Questions

No items found.

Where Can I Learn More About Object Detection?

View All Learning Resources
No items found.