Key features
Supports invoking the Segment Anything Model (SAM) using natural language prompts, enabling semantic-level image region segmentation without manual annotation.
Built on CLIP embeddings and Gradient-weighted Class Activation Mapping, providing SAM with a lightweight front-end interface for text-to-mask conversion.
Use cases and audience
Intended for developers, researchers, and tech enthusiasts interested in AI-powered image segmentation, suitable for experimental and exploratory purposes.
- Interact with Meta’s Segment Anything Model (SAM) using natural language prompts to perform image region segmentation.
- Text-based segmentation supported by CLIP embeddings, ideal for experimental image understanding tasks.
- Assisting in exploring the SAM model's performance in unofficial text-prompting scenarios, with results showing fluctuating quality.
Natural language prompts and images to be processed.
Segmentation masks generated based on the prompt.
Frequently asked questions
Is this extension officially released by Meta?
No, this extension is developed by Brilliantly, not officially released by Meta; Meta has not made the text-prompting feature available in its public demos.
Is the segmentation result quality stable?
Unstable—result quality varies significantly. Some failure modes are explainable (e.g., imprecise gradient mapping causing “hats” to be misidentified as close matches), while other cases show substantial deviations.
How to use
- 01
Install this extension in the Chrome browser
- 02
Access the GitHub repository https://github.com/suvansh/say-anything-backend
- 03
Set up a local backend server according to the instructions.
- 04
Enable the extension and use natural language prompts to segment images.
Official website & sources
Updated on 2026-10-31
