Classes Based

Collect and save images that match a class from a classifier prediction for use in improving your model.

This strategy is available for the following model types:

• classification

Configuration¶

• name: user-defined name of the strategy - must be non-empty and unique within all strategies defined in a single configuration (required)
• type: with value classes_based is used to identify close to threshold sampling strategy (required)
• selected_class_names: list of class names to consider during sampling - (required)
• probability: fraction of datapoints that matches sampling criteria that will be persisted. It is meant to be float value in range [0.0, 1.0] (required)
• tags: list of tags (each contains 1-64 characters from range a-z, A-Z, 0-9, and -_:/.[]<>{}@) (optional)

Example¶

Here is an example of a configuration manifest for the close to threshold sampling strategy:

{
  "name": "underrepresented_classes",
  "type": "classes_based",
  "selected_class_names": ["cat"],
  "probability": 1.0,
  "tags": ["hard-classes"],
  "limits": [
    { "type": "minutely", "value": 10 },
    { "type": "hourly", "value": 100 },
    { "type": "daily", "value": 1000 }
  ]
}