Vision AI Label Studio
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Basics

  • Getting Started
  • Importing Images

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  • Advanced Features
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Vision AI Label Studio

A powerful, open-source image labeling tool with AI assistance.

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Getting Started

Learn how to get started with Vision AI Label Studio

Updated: May 15, 2024
setupinstallation

Getting Started

Welcome to Vision AI Label Studio! This guide will help you get up and running quickly.

Installation

You can install Vision AI Label Studio using npm:

npm install vision-ai-label-studio

Or using yarn:

yarn add vision-ai-label-studio

Basic Configuration

Create a configuration file in your project root:

// vision-ai-config.js
export default {
  apiKey: process.env.VISION_AI_API_KEY,
  projectId: "your-project-id",
  models: ["object-detection", "segmentation"],
}

Usage Example

Here's a simple example of how to use Vision AI Label Studio:

import { VisionAIStudio } from "vision-ai-label-studio"

function App() {
  return (
    <VisionAIStudio
      projectId="your-project-id"
      images={[
        { id: "1", url: "/images/sample1.jpg" },
        { id: "2", url: "/images/sample2.jpg" },
      ]}
    />
  )
}

Next Steps

After installation, check out these guides:

  • Importing Images
  • Creating Labels
  • Training Models
Advanced FeaturesImporting Images