📜
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
Powered by GitBook
On this page
  1. Self Service Training

How To Train a Model

Overview

EyePop.ai’s self-service training feature allows you to build custom computer vision models tailored to your specific needs. This guide walks you through the entire process, from defining your model to deploying and iterating for better results.

PreviousDataset SDK (Node)NextDefining Your Computer Vision Model

Last updated 5 months ago

🏋️