Segment Anything Model (SAM) | Cut out objects with one click!

Cut out any object in an image with SAM, the Segment Anything Model from Meta AI. Enjoy zero-shot generalization and…

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  • Image Editing
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⚙️  Tech Specs

❑ Website Registered On:

  28th February, 2023

❑ Is this Mobile Friendly?

  Yes!

❑ Name Servers:

ns-1397.awsdns-46.org, ns-1926.awsdns-48.co.uk

❑ Tech Stack:

React, Amazon Web Services, Lodash, Google Font API, DigiCert, Amazon S3, Amazon Cloudfront

📡  Connect

❑ Tool Name:

  Segment Anything Model (SAM)

Connect with QR

segment-anything-QR-Code-AI-Tool

Contact Info:

segment-anything@meta.com

❑ Email Service By:

  Amazon SES

❑ Safe to Send? :

 Risky

❑ Verification Status:

  Catch All

〒 Know More

❑ Use it For:

  Image Editing

❑ Pricing Options:

  Free

❑ Suitable Tags:

  Open Source, Web Browser

The Segment Anything Model (SAM) is a groundbreaking AI tool developed by Meta AI for image segmentation. SAM can isolate any object in an image with just a single click, revolutionizing how we interact with visual content. It uses various input prompts like points, boxes, or text to identify and segment objects in real-time. SAM’s versatility stems from its training on a massive dataset of over 1 billion masks across 11 million diverse images.

Major Highlights

  • Zero-shot performance across various segmentation tasks
  • Real-time mask generation for interactive applications
  • Flexible prompting system (points, boxes, text)
  • Handles ambiguity by generating multiple valid masks
  • Trained on SA-1B, the largest segmentation dataset to date
  • Adaptable to new image types without additional training
  • Open-source model and dataset for research and development
  • Web-based demo available for users to try SAM with their own images
  • Powerful image encoder for efficient feature extraction

Use Cases

  • Automated image annotation and dataset creation
  • Object removal and background replacement in photo editing
  • Medical image analysis for disease detection
  • Autonomous vehicle perception systems
  • Augmented reality applications
  • Content moderation on social media platforms
  • Satellite imagery analysis for environmental monitoring
  • Quality control in manufacturing processes
  • Wildlife monitoring and conservation efforts
  • Virtual try-on experiences in e-commerce

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