adatcímkézésnél
Adatcímkézésnél is a Hungarian term that translates to "data labeling" or "data annotation" in English. It refers to the process of identifying and tagging raw data, such as images, text, audio, or video, with meaningful labels or annotations. This labeled data is crucial for training and validating machine learning models, particularly in supervised learning algorithms.
The purpose of data labeling is to provide machines with the context and understanding necessary to perform
The accuracy and quality of data labeling directly impact the performance of the resulting machine learning