Data labeling provides users, teams and companies with greater context, quality and usability. There is no limit to the features you can label as long as the features in the image are as clear as daylight. Labeling images for deep learning requires extra care and precision that can only be done by professionals for best results. More specifically, you can expect: More Precise Predictions Better Data Usability In machine learning, if you have labeled data, that means your data is marked up, or annotated, to show the target, which is the answer you want your machine learning model to predict. If you have massive amounts of data you want to use for machine learning or deep learning, you'll need tools and people to enrich it so you can train, validate, and tune your model.