Data labelling

Data labelling is an integral step in developing high performing machine learning models. It is the process of converting unstructured data to structured data by adding informative labels, that helps the machine learning model to make accurate predictions.

IMAGIMOB Studio allows you to annotate unstructured data, like audio and time series, and develop structured data to create datasets for training the machine learning models. The Studio also supports uploading a video that can be used as visual reference for annotating the time series data.

There are two methods for labelling data in IMAGIMOB Studio: