Exploring Label Studio

Label Studio (https://labelstud.io/) is an open source data labeling and annotation platform designed to streamline the process of labeling diverse data types, including images, text, and audio. With a user-friendly interface, Label Studio empowers machine learning practitioners and data scientists to efficiently label and annotate datasets for training and evaluating models. Its versatility, collaborative features, and support for multiple labeling tasks make it a valuable tool in the development of robust and accurate machine learning models.

In this section, we are going to label four types of data: image, video, text, and audio.

Labeling the image data

Let us label the image data using Label Studio.

Once you have installed the Label Studio tool using the pip command as given in the Technical requirements section, start Label Studio, go to the browser, and type in the following URL: http://localhost:8080/. As we have deployed Label Studio using...