Data labeling is the task of giving a meaningful label to your data sample. It's usually done by humans to assign tags to text, images, and videos. Once labeled, the data can be used for training supervised machine learning algorithms such as classification and object detection. Here are nine open source tools with Java interfaces to do the job.
A data labeler is an interface provided by a machine learning library to label data. A data labeler shows you a data point and allows you to specify a label for that data point. If you are building a classification model, you can use a data labeler to specify the class of each data point. The labeled data points are then used as training examples in a classifier algorithm. In this kit, we will look at 9 of the best Java Data Labeling libraries.