Annotation QA, Gold Set Creation & Dataset Audits
Performed QA on image/video annotation datasets by reviewing samples, validating guideline compliance, and resolving disagreements. Built small gold sets for calibration, tracked recurring error patterns (missed objects, class confusion, inconsistent boundaries, mask quality issues, ID switches), and proposed guideline updates to reduce ambiguity. Produced QA notes and summary findings to support iterative improvements and more reliable training datasets.