Image Annotation & Pre-processing Project Participant
Image
Bounding BoxI participated in early-stage construction of a large-scale image recognition dataset, focusing on hierarchical image labeling and the first round of quality auditing. I performed bounding box localization and multi-label attribute definition for daily scene images, ensuring compliance with strict annotation standards. My responsibilities also included anomaly data filtering and collaborative alignment on annotation rules. • Handled tens of thousands of daily scene images for bounding box annotation and attribute labeling. • Manually filtered and cleaned low-quality or irrelevant image assets, improving effective sample rates. • Validated annotation files using Python scripts to ensure format integrity for direct training pipeline use. • Maintained one of the team's highest processing volumes with a 98% quality check pass rate.