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Correcting Tracks

Human track corrections can merge, split, reassign detections, remove associations, correct categories and spans, mark duplicates or invalid tracks, and verify a complete track. Corrected identifiers are separate; original AI track IDs remain intact.

Track correction
Figure 1. Human track merge and split controls Simulated research data.

Linear interpolation creates clearly marked Needs review boxes between keyframes. Interpolated boxes are never treated as manually verified until reviewed.