Data labeling is the process of identifying and tagging items in data samples. The process can be manual or through designated software. The labels tagged on the different class items must be unique, descriptive, and independent to provide a unique sequence, also called an algorithm.
In machine learning, data labeling adds meaningful labels to the identified raw data so that the machine learning model can learn from the data.
Image annotation tools are software that simplifies the process of data annotation and labeling through structured datasets that are used to train computer vision algorithms. You can use the tools on any form of raw data, such as texts, images, databases, and formats such as PowerPoint presentations or whiteboards. [Read more…] about What is Data Labeling, and Why is it Important to Artificial Intelligence?
