Annotatieformaat

Annotatieformaat refers to the structured way in which annotations are recorded and stored. Annotations are essentially metadata or additional information added to a piece of data, such as text, images, audio, or video. The specific format used for these annotations is crucial for their usability, interoperability, and for enabling automated processing.

Different annotation formats exist to cater to various types of data and annotation tasks. For text, common formats include simple key-value pairs, JSON (JavaScript Object Notation), XML (Extensible Markup Language), or specialized formats like CoNLL (CoNLL-U) for linguistic annotations. For images, formats often describe bounding boxes, polygons, keypoints, or semantic segmentation masks, frequently stored in JSON or XML files, sometimes alongside the image itself or as separate files referencing the image.

The choice of an annotation format depends on factors such as the complexity of the annotations, the tools used for annotation and analysis, and the desired level of detail. Standardized formats promote consistency and allow different systems and researchers to work with the same annotated data. This is particularly important in fields like machine learning, natural language processing, and computer vision, where large, well-annotated datasets are fundamental for training and evaluating models. An effective annotation format ensures that the annotations are unambiguous, machine-readable, and easily integrated into downstream workflows.