📜
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
    • Dataset SDK (Node)
    • 🏋️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)
  • EyePop.ai Visual Intelligence
    • Reports
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  • What is Computer Vision?
  • Quick Links

EyePop.ai Introduction

A Self-Service AI Platform for Computer Vision Apps

NextGetting Started

Last updated 2 months ago

Welcome to EyePop.ai – your gateway to building computer vision apps with ease. EyePop.ai is a self-service AI platform that lets you transform images and videos into actionable insights. Use our powerful APIs and tools to create apps that analyze visual data in real time, extract demographic insights, and adapt dynamically to user content. This documentation provides step-by-step guides, API references, and practical examples to help you start developing innovative computer vision applications immediately. Get ready to turn visual data into your next breakthrough app.

What is Computer Vision?

Computer vision is a groundbreaking technology that allows machines to interpret and take action based on visual data, such as images or videos. This capability equips machines with the ability to perform tasks that require visual recognition, opening up a world of possibilities. Imagine products that adapt to user-generated content, instant demographic insights derived from visual media, or real-time analysis of live streams to measure audience engagement. EyePop.ai makes these possibilities a reality, and this documentation will guide you through the process of utilizing this technology for your own projects.

Quick Links

  • to Windows X-Elite with Snapdragon NPU

👋
React/Node SDK
Python SDK
Edge Deployment