📜
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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  1. EyePop.ai Visual Intelligence

Reports

Getting Started: Create a Visual Intelligence Report

EyePop.ai makes it easy to extract insights from your images—without writing a single line of code. Just follow these four steps to create your first Visual Intelligence Report:


1. Report Details

Name your report and select where your images are stored—whether that’s your device, a cloud folder, or a live camera feed.

This helps EyePop understand what you’re analyzing, like products, people, meals, or vehicles.


2. What to Find

Choose the types of objects you want to detect and analyze.

Whether it’s ingredients on a plate, faces in a group photo, or cars in a parking lot, this step tailors the AI model to your specific goals.


3. Upload Media

Drop in your images or click to browse your files.

These should reflect the kinds of objects you want the AI to understand—meals, products, people, or whatever else your report is focused on.


4. Preview Results

Take a moment to preview what EyePop detected and analyzed in your images.

Make adjustments if needed—this is your chance to confirm the insights are meaningful before generating the report.

PreviousDeep Dives (FAQ)

Last updated 1 day ago