Data Labeling Techniques – An In-Depth Comparison of Annotation Methods
Data labeling, the process of assigning meaningful annotations to raw data, is critical in training machine learning models. It transforms unstructured data into valuable insights, enabling AI algorithms to make informed decisions. With a plethora of annotation methods available, it can be challenging to determine which approach suits your project...
Read More