Data Annotation / Quality Checking and Validation (2D & 3D labeled datasets)
Validated 2D and 3D annotations including bounding boxes, polygons, and cuboids to ensure labeling quality. Detected discrepancies in annotations and provided corrective feedback to the annotation team to maintain accuracy and consistency. Ensured dataset compliance with project and client guidelines to support downstream machine learning and computer vision model training. • Reviewed bounding boxes, polygons, and cuboids for correctness • Conducted guideline compliance and consistency checks • Performed error analysis to keep error rates low • Met productivity and quality benchmarks under tight timelines