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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)
      • Composable Pops
    • 🐍Python SDK
      • Composable Pops
  • 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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On this page
  • Getting Started: Create a Visual Intelligence Report
  • 1. Navigate to the Report Page
  • 2. Name Your Report and Configure Image Sources
  • 3. What to Find
  • 4. Upload Media
  • 5. Review Your Details
  • 6. Processing & Results
  • 7. Exploring Your Report
  • Next Steps
  1. EyePop.ai Visual Intelligence

Reports

PreviousDeep Dives (FAQ)

Last updated 3 days ago

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. Follow these simple steps to create your first Visual Intelligence Report.

1. Navigate to the Report Page

  • Access the report creation feature through either:

    • Clicking "Create Report" on the dashboard

    • Finding it on the side panel navigation

2. Name Your Report and Configure Image Sources

  • Name your report with something descriptive and meaningful

  • Select your image source from multiple options:

    • Local device storage

    • Cloud folder

3. What to Find

  • Enter the main object you want EyePop.ai to detect (in this example: cars)

  • Customize detection parameters by adding properties to analyze - these are the specific questions you're asking about each image and the AI will return answers for each:

    • Make/Model/Year - identifies the specific car model

    • Color - determines the vehicle's color

    • Damage? Where? - locates and describes any damage

    • Condition? - assesses overall vehicle condition

    • Estimated Value - provides approximate market value

  • Add additional properties using the "+ Add a property to analyze" button - each property represents a specific piece of information you want extracted from your images

  • The AI model will be optimized to answer these specific questions for each analyzed image

  • Toggle to "Advanced" to customize your prompt for more granular control over what information is extracted

4. Upload Media

  • Drop files directly into the upload area or click to browse

  • Select relevant images that contain the objects you want to analyze

  • Batch upload supported for processing multiple images at once

  • Best results come from uploading images that clearly show your objects of interest

5. Review Your Details

  • Take a moment to confirm what EyePop will analyze in your images

  • Review your configuration including:

    • Location (where your images are from)

    • Label (the main object you're analyzing, e.g., "Car")

    • Estimated processing time

    • Properties you've selected to analyze (Make/Model/Year, Color, etc.)

  • If anything looks incorrect, you can go back and make changes

  • When everything looks right, click "Confirm and generate my Report"

6. Processing & Results

  • Processing phase:

    • You'll see a "Report Pop in progress..." screen with a loading indicator

    • EyePop displays an estimated time until completion

    • You can leave this page and return later - your report will still process

  • Report Ready:

    • Once completed, you'll see a "Success! Your Report is Ready" confirmation

    • Click "View the results" to explore your full Visual Intelligence Report and the insights extracted from your images

7. Exploring Your Report

  • View Report Summary:

    • Once your report is complete, you'll see a summary page showing:

      • Total number of images processed

      • Processing time

      • Count of detected objects for each property (e.g., 11 Make/Model/Year identifications)

    • This summary provides a quick overview of all findings across your entire dataset

  • Explore Individual Images:

    • Click on any image to see detailed results

    • All analyzed images display with color-coded property tags as overlays

    • Each property shows its specific finding:

      • "Make/Model/Year honda civic 2016"

      • "Color white"

      • "Damage? Where? yes, front bumper"

      • "Condition? fair"

      • "Estimated Value $10,000"

  • Download as a CSV:

    • The CSV format organizes all detected properties in a structured tabular format

    • Each row represents an image with its unique ID

    • Each column contains a specific property finding (Make/Model/Year, Color, etc.)

    • Perfect for importing into spreadsheets, databases, or analysis tools

    • Use the downloaded data for further analysis, reporting, or integration with other systems

Next Steps

After completing these seven steps, your Visual Intelligence Report will be available to explore and use. You can then:

  • Analyze the results to gain insights about your images

  • Export reports in multiple formats for further analysis

  • Share insights with team members

  • Integrate findings with other business intelligence tools


For additional support or advanced features, contact our customer success team at

support@eyepop.ai
Navigate to Report