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State-of-the-Art Data Labeling With a True AI-Powered Data Management Platform
Diving into genuine state-of-the-art automation of the data labeling workflow on large unstructured datasets
Author(s): Roberto Iriondo
Data labeling is an essential part of the machine learning workflow, particularly data preprocessing, where both input and output data are labeled for classification to present a learning base for planned data processing.
We use data labeling to identify raw data, such as objects in images, videos, text, and so on. It works by affixing one or more significant and informative labels to produce context so that a model can learn from it [2]. Sometimes due to the inefficient data labeling, it ends up eating a whole chunk of time, and it represents a bottleneck for machine learning workflows.
Superb AI, a novel B2B SaaS startup, has a highly developed data platform that tackles the challenges businesses face throughout their machine learning workflows, specifically cold-start and data labeling throughout large unstructured datasets.
Their platform does not only tackle data gathering and transformation, but it truly brings a novel way toward true automation during the fundamental and possibly most challenging stages of the machine learning lifecycle, including data preparation, data labeling, and the data management workflow.
Unlike their competitors, Superb AI’s machine learning data platform does not require AI-assistance during its workflows, saving countless amounts of human hours and heading toward a data management workflow with a significantly smaller amount of human-in-the-loop (HITL) efforts.
Back in 2018, Superb AI started its journey with an outstanding data labeling service called “Human-in-loop (HITL).” HITL is a branch of artificial intelligence that strengthens human and machine intelligence to build machine learning models.
The traditional human-in-the loop strategy involves several cumbersome circles like training, tuning, and testing of algorithms with a given dataset. Superb AI’s strategy is more innovative…