Data Annotator
I worked on the Emu-Personalization (PIE) Standalone Evaluation project, where the model takes a subject from an image—such as a pet, object, or person—and conducts unique edits while preserving the subject's identity. My role involved evaluating the model's output images for accuracy and consistency in relation to the instruction prompts/captions. This included standalone tasks where one output image was compared to the original, as well as head-to-head comparisons of two output images. I focused on high-quality evaluation standards to ensure the model's reliability and effectiveness in image personalization.