Training a multi-label classification model in detail

Topics covered:
  • Uploading images from a folder
  • Uploading image classification labels
  • Including/excluding image labels from training
  • Analyzing multi-label predictions
  • Changing score thresholds for classification
  • Analyzing precision-recall curve
  • The definition of "best" and "last" model
  • Making multi-label predictions

The images used in this tutorial can be downloaded here

You can download video tutorial here

Thanks to our partners at for kindly providing the images for this tutorial.