What are classification fields in datalabelling

Help AI Center
2

Hi @anusha2

Check out the below video and docs

  1. Regular Fields:
  • Purpose: Regular fields are used to capture and annotate various types of information associated with a data point.
  • Examples: Regular fields can include information such as text, numbers, dates, or any other relevant data that needs to be annotated.
  • Use Cases: Regular fields are suitable for tasks where the model needs to learn from multiple aspects of the data, not necessarily classifying into predefined categories.
  1. Classification Fields:
  • Purpose: Classification fields are specifically designed for tasks that involve categorizing data points into predefined classes or categories.
  • Examples: Classification fields are typically used for tasks like image classification, sentiment analysis, or any other task where the goal is to assign data points to specific classes.
  • Use Cases: Classification fields are particularly useful when the machine learning model needs to be trained to recognize and classify data into distinct categories.

Hope it helps!!
Regards