Bounding Box Annotator – Multimodal Evaluation
I conducted bounding box annotation and localization tasks for image datasets as part of multimodal model evaluation. This involved precise spatial labeling and consistent assignment of categories to support AI model training. The tasks also included assessing personalization accuracy and responsiveness to corrective annotation instructions. • Drew bounding boxes to localize and categorize objects in images. • Evaluated image outputs for fidelity between user intent and model generation. • Maintained consistency and thoroughness across iterative labeling workflows. • Supported assessment of high-stakes safety-critical visual scenarios.