Uppmärkningsuppgifter
Uppmärkningsuppgifter, a Swedish term that translates to "labeling tasks" or "annotation tasks," refers to the process of assigning labels or tags to data. This is a crucial step in many machine learning and artificial intelligence workflows, particularly in supervised learning. The goal is to provide structured information that enables algorithms to learn patterns and make predictions.
These tasks can involve a wide variety of data types, including text, images, audio, and video. For
The quality of the labels directly impacts the performance of the trained models. Therefore, accurate and consistent