Measuring Agreement in Video Annotation Without Hiding Disagreement

Annotation quality is not just the percentage of completed rows. Two annotators can fill every field and still disagree about action boundaries, scene categories, or whether a caption matches the audio.

Define the unit of agreement

Choose what should agree: class label, start and end time, transcript status, language, or safety review state. Each has a different tolerance. A two-second boundary difference may matter for action recognition and not matter for broad scene retrieval.

Review disagreements by category

Keep disagreement reasons such as unclear guideline, poor audio, overlapping actions, missing context, or genuine ambiguity. Use the reasons to improve the annotation guide instead of simply forcing a majority label.

Preserve original decisions

Store annotator IDs or process versions, review status, final label, and correction reason. Keep the original annotation when the change matters to later analysis.

Thordata describes structured video metadata, captions, transcripts, engagement signals, and custom or API-based delivery. Request sample fields that support your annotation audit: https://www.thordata.com/products/multi-platform-video-datasets?op=rhea&from=x