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Developer Documentation
  • 👋EyePop.ai Introduction
  • 🎯Getting Started
    • 👨‍💻Pop Quick Start
    • 💪Low Code Examples
  • 🗝️API Key
  • 🏷️Finding People & Objects
  • SDKs
    • ☁️React/Node SDK
      • Render 2D (Visualization)
    • 🐍Python SDK
  • Self Service Training
    • 🏋️How To Train a Model
      • Defining Your Computer Vision Model
      • Example Use Case: Detecting Eyeglasses
      • Preparing & Uploading Data
      • Using EyePop.ai’s AutoLabeler
      • Human Review
      • Data Augmentation Setup
      • Training in Progress
      • Deployment
        • Deploy to Windows Runtime
      • Previewing Results
      • Iterative Training
      • Deep Dives (FAQ)
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On this page
  • How does EyePop.ai work?
  • Build your first "Pop" Endpoint
  • Get Started With Examples

Getting Started

Creating your first Pop and running a demo.

PreviousEyePop.ai IntroductionNextPop Quick Start

Last updated 7 days ago

How does EyePop.ai work?

You will create endpoints that use a cloud or edge based AI worker server that streamlines your detection tasks. We call these endpoints a “Pop”. Whether you're looking to post images, videos, or even connect through live webrtc, EyePop.ai offers the flexibility and efficiency to suit your requirements.

Build your first "Pop" Endpoint

Take a look at our Pop Quickstart Guide.

Get Started With Examples

  • React Web Examples (Github)

  • React Native Examples (Github)

  • Python Examples (Github)

  • Low Code Examples (Docs)

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