Topics covered:

  • Basics of bitmap and polygon labeling
  • Smart labeling tool
  • Training image segmentation model
  • Viewing predictions on training and validation sets
  • Analyzing performance statistics
  • Changing score thresholds
  • Making predictions via web platform
  • Using the model for AI-assisted/iterative labeling
  • Making predictions via REST API
  • Downloading offline model