Library/segment-anything
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facebookresearch/segment-anything

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Builder

Meta Research

Meta Research

facebookresearch • ai-lab

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53,800

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Forks

6,299

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0/100

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Created

Mar 23, 2023

Project creation date

README Summary

This repository provides code and pre-trained models for the Segment Anything Model (SAM), which can segment any object in images with minimal prompting. It's designed for computer vision researchers and developers who need powerful, general-purpose image segmentation capabilities.

AI Dev Skills

Unmapped

Computer VisionImage SegmentationDeep LearningConvolutional Neural NetworksVision TransformersZero-shot LearningPrompt-based AIModel Inference

Tags

Computer VisionImage SegmentationDeep LearningConvolutional Neural NetworksVision TransformersZero-shot LearningPrompt-based AIModel InferenceMedical Image AnalysisHealthcareOn-premiseRoboticsPrompt EngineeringDeep Learning InferenceComputer Vision AICloud APIFoundation ModelsManufacturingImageQuality Control in ManufacturingImage Editing and ManipulationSelf-hostedAgricultureInteractive Image SegmentationAutomated Content ModerationMedia & EntertainmentAutonomous VehiclesObject Detection and IsolationJupyter Notebook

Taxonomy

Recent Activity

Updated 1 years ago

7 Days

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Quality

research
Quality
high
Maturity
research

Categories

Inference & ServingPrimaryData Science & AnalyticsHealthcare & BiologyOther AI / MLFoundation ModelsAI AgentsComputer VisionRobotics

PM Skills

Scale & Reliability

Languages

Jupyter Notebook100.0%

Timeline

Project created
Mar 23, 2023
Forked
Mar 12, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Sep 18, 2024

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