Data collection

Collecting data is one of the most important steps in building an efficent machine learning model. It is the process of creating new data or collecting relevant data from multiple sources for training the machine learning model. The performance of the machine learning model depends on the data on which it has been trained, so collecting qualitative data is crucial for developing a robust model.

There are two methods for collecting data in IMAGIMOB Studio:

  • Collect data using Graph UX
  • Collect data using Imagimob Capture