Video labeling
My participation in a video AI glasses project taught me powerful skills in video annotation, summarizing instruction, and labeling in context. I trained to describe what the AI glasses have captured (e.g. objects, actions, and environments) and summarize spoken instructions correctly so that the system was able to carry out tasks more efficiently. I also acquired skills in maintaining a high level of quality, consistency, clarity, and accuracy in all annotations. This involved matching labeled data with project specifications, ensuring productivity standards, and increasing the reliability of the dataset in real world applications of AI. The skills also enhanced my capability to work on complex video and instruction based AI training programs.