annotatsioonikooskõla
Annotatsioonikooskõla refers to the state of agreement or consistency between different annotations of the same data. Annotations are descriptive labels or tags added to data, such as text, images, or audio, to provide additional information or context. This can be crucial in various fields, including natural language processing, computer vision, and machine learning, where annotated data is used to train and evaluate models.
Achieving annotatsioonikooskõla is important because inconsistencies in annotations can lead to ambiguity and errors in downstream
Methods to improve annotatsioonikooskõla often involve refining annotation guidelines, providing comprehensive training for annotators, and implementing