Segment Anything 2 Assist

A tool to use SAM2 on images.

segment anything model   gradio   pytorch   real-time segmentation   ·   segmentation models   image processing   work

Interactive image segmentation tool using the Segment Anything Model (SAM) powered by Hugging Face. Start the space if inactive, or access it in full screen here.

Overview: Segment Anything 2 Assist is a tool designed to make image segmentation easy and accessible. Built using Gradio, this app leverages SAM to annotate objects within an image based on user-defined bounding boxes. It provides a user-friendly interface that allows users to upload images, set annotations, and view segmentations in real-time. This tool is perfect for tasks requiring fast and flexible segmentation, whether for research, graphic design, or educational purposes. 🎨📸

🚀 How It Works

This app provides a streamlined interface using Gradio components to facilitate SAM-powered image segmentation. Key components include:

  • Image Annotation: Mark objects within images using labeled bounding boxes with color-coded labels for easy distinction.
  • Real-time Segmentation: With SAM, the app segments images based on annotated input, quickly adjusting to user-provided labels and boxes.
  • Preset Annotations: Example images with pre-defined annotations help demonstrate SAM’s capabilities, making it simple for users to understand and get started.

🧩 Key Features

  1. Easy Annotation: Use an intuitive bounding box interface to identify and label objects in images.
  2. Dynamic Interaction: Customize segmentation by adding, removing, or modifying annotations. Adjust bounding boxes, labels, and colors to see the model adapt.
  3. Sample Annotations: Start with a preloaded image (assets/cars.jpg) showing the app’s functionality with sample annotations, or upload your own images for custom segmentation.

🌐 Real-World Applications

This app is suitable for a wide range of applications, including:

  • Research: For data scientists and researchers needing quick segmentations for studies or training datasets.
  • Design and Media: Useful for designers looking to segment portions of images for creative projects.
  • Education: Enables educators and students to learn image annotation and segmentation with an interactive tool.

For full documentation and code, visit the repository here: Hugging Face Repository