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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
    • 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. Self Service Training
  2. How To Train a Model

Previewing Results

The preview experience allows you to test your model in real-world scenarios. Select or drag an image into your preview experience. The image output with bounding boxes will display on the left side of the screen, with JSON outputs on the right. This is another opportunity for you to adjust the confidence threshold, fine-tuning to optimize predictions.

At this stage, you have an output and can begin thinking about how you might integrate these results in your product. You can find more information about the types of data that EyePop.ai can return and how they can be integrated in Developer Documentation.

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Last updated 5 months ago

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