GroundingSAM

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GroundingSAM is an AI tool for image segmentation that allows users to segment objects in images based on text input. It identifies and segments corresponding objects from comma-separated labels.

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At a glance

Pricing

Free · Open Source

Free tier

Yes

API

Skill level

Technical

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About

What is GroundingSAM?

GroundingSAM is an AI-powered image segmentation tool available as a Hugging Face Space. It enables users to upload an image and provide comma-separated text labels to identify and segment specific objects within that image. This tool is designed for tasks requiring precise object localization and segmentation based on textual descriptions. It is free to use under the Apache-2.0 license, making it accessible for research, development, and educational purposes. While the live website currently shows a runtime error, its intended functionality is to provide an interactive platform for image segmentation.

Best used for

Ideal for students and researchers who need to precisely segment objects in images using text descriptions. Especially valuable for preparing datasets for computer vision models, conducting experiments in image analysis, and educational purposes to demonstrate AI segmentation capabilities.

Common actions

segment images

identify objects

label images

AutomationTask automationContent generationaifun toolsEducationAI chatbots

Capabilities

Key features

Image upload
Text-based object identification
Object segmentation
Comma-separated labels

Target Audience

studentprofessor

Integrations

Not yet documented

Pricing & Plans

Free · Open Source

Free

FAQs

What kind of input does GroundingSAM require for segmentation?

GroundingSAM requires an image upload and comma-separated text labels. These labels specify the objects you want the AI to identify and segment within the uploaded image.

Is GroundingSAM suitable for commercial use?

GroundingSAM is released under the Apache-2.0 license, which generally permits commercial use, modification, and distribution. However, always review the full license terms for specific conditions.

What should I do if I encounter a runtime error on the Hugging Face Space?

A runtime error indicates a temporary issue with the application's execution. You can try refreshing the page, checking the Hugging Face Space's community tab for updates, or waiting for the developer to resolve the issue.

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Research & Education › Academic Research Data & Analytics › Data Labeling & Annotation Research & Education › Study Assistants

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