What is The Difference Between Data Annotation and Labeling in AI & ML?

Though, Data labeling and annotation are the words used interchangeably to represent the an art of tagging or label the contents available in the various formats. Nowadays both of these techniques are basically used to make the object or text of interest recognizable to machines through computer vision. Data labeling is the process of tagging the data like text or objects in videos and images to make it detectable and recognizable to computer vision to train the AI models through machines learning algorithm for right predictions. Labeling basically done with useful tags or added metadata to make the texts more meaningful and informative making it understandable to machines. And usually texts and images are labeled but nowadays annotation is also used for the same purpose and labeling is done for machine learning training.