Machine labeling project (Tech Innovation Co)
Labeled over 100,000 images for machine learning projects to improve algorithm performance. Developed and applied labeling guidelines that reduced annotation error by 40%. Supported model development by producing high-quality annotated visual datasets. • Labeled over 100,000 images for machine learning • Reduced annotation error by 40% using developed guidelines • Improved algorithm performance by 12% based on labeling outputs • Trained 5 new team members on efficient labeling techniques