Product Documentation
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  • Welcome to Biodock
  • Why Biodock
  • Quickstart
    • Start here (choose a tutorial)
    • Path 1: AI-assisted analysis
    • Path 2: Train a fully-automated AI model
      • Set up your project
      • Label and train
      • Labeling shortcuts
      • Run your AI model
      • Configuring your model
  • AI Projects
    • Project settings
    • Sharing your AI project
    • Training a model
  • AI Analysis
    • Results dashboard overview
    • Download results and reports
    • Correcting results to improve your model
    • Editing objects (QC)
    • Filters (like flow cytometry)
  • Biodock Scripts
    • Biodock Platform Script Guidelines
  • Files
    • Uploading images
    • AWS S3 integration
    • View and manage data
      • Viewing images
      • File details and download
      • Copy, cut, move
      • Sharing data
      • Merging channels
    • Supported image types
  • Public API (Beta)
    • Overview
    • Authentication
    • Examples
    • Resources
      • Files
      • Analysis Jobs
      • Pipelines
    • Limitations
  • Deep AI models
    • Evaluating Performance
  • User
    • Account registration
    • Change password, login, logout
    • Usage limits and team
      • Filesize based limits
      • Run credits limits
    • Billing
  • Company
    • Academics and startups
    • Contact us
    • Citing Biodock
    • Security and IP
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Deep AI models

After creating an AI model, you should evaluate the model visually and or by looking at the statistics page.

Evaluating Performance
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