Frame-by-Frame Video Data Annotation for Computer Vision
I conducted frame-by-frame analysis on high-speed visual animations to refine object tracking processes. My focus was on identifying and correcting errors at the frame level to ensure the highest data fidelity for AI model training. This work contributed directly to improved computer vision workflows and the accuracy of automated visual tracking systems. • Performed detailed review and annotation of video sequences for object tracking accuracy • Applied corrections to mislabeled or ambiguous frames and ensured technical consistency • Collaborated in visual data pipeline to standardize outputs for AI development • Supported quality assurance processes for annotated visual data sets.