Upwork Client
1. Bounding Box Annotation Precisely drew tight, pixel-accurate bounding boxes around target objects in each image Ensured consistent box alignment, minimal background inclusion, and object completeness Handled multiple objects per image with correct class assignment Followed occlusion, truncation, and overlap rules as per client specifications Maintained annotation consistency across diverse lighting, angles, and image resolutions Categorized images into predefined classes and sub-classes Applied single-label and multi-label classification, depending on image context Validated class accuracy through multi-level review processes Ensured balanced class distribution to avoid model bias. Assigned descriptive and contextual tags to each image Tags captured object attributes, environmental context, and visual features Improved dataset searchability, filtering, and downstream analytics Maintained a standardized tagging taxonomy to ensure consistency.