Data is the fuel that drives machine learning models, also known as ML, but labeling that data can be a costly and time-consuming process. The methods of annotating data via manual or automation comes with its own set of limitations. That’s where active learning enters, a technique that revolutionizes...
Everything related to data comes with varying degrees of complications, especially when the data is being utilized for annotation. The demand for high-quality labeled data is ever-growing. There are two ways to annotate or label data. One is via manual sources, and the other is automation. However, manually annotating...
In the realm of machine learning, data is the supreme being. By annotating aka labeling data for image, text, video, or audio, one provides AI and ML ammunition to get any kind of task done accurately. However, acquiring and meticulously labeling vast amounts of data can be a resource-intensive...
Data Annotation Quality Control: Strategies for Ensuring Accuracy In the realm of artificial intelligence and machine learning, the quality of training data is paramount. The accuracy and reliability of models heavily depend on the quality of annotated data used during the training process. Data annotation, the process of labeling...