Why is data labeling for machine learning so important?
Data labeling is becoming the backbone for computer vision based AI and machine learning based model development. It is making the data recognizable to machines trained through algorithms to learn and utilize this information for predicting in the near future.
What is Data Labeling?
Basically, the data available in various formats like texts, images, audio or videos are labeled with specific technique for specific purpose to make it comprehensible to machines that can understand and analyze the information to give the results accordingly.
Data Labeling for machine learning means, means the AI model need to learn from the labeled data and when such scenarios comes again in real life, it can give the most suitable results. For machine learning computer vision based AI models, image annotation is the technique, can annotate the images making the various objects recognizable with accuracy.