Data Labeler specializes in creating quality

Data Annotation is the process of attaching labels to datasets that are used for training machines. About 80% of Artificial Intelligence project development time is spent on data preparation. The success of any AI or Machine Learning project is directly proportional to the quality of the annotated data fed to the algorithms for training them. […]

Data Labeling is one of the key factors that determine the quality of a machine learning project. Although data labelling tasks are time-consuming and can get very complex, by selecting the right approach, your machine learning project can steer clear of any quality or accuracy hurdles. In this blog, we have listed out 5 data […]

The basic concept behind Facial Recognition involves identifying a human face using technology. It can be defined as a software application that recognizes a person by comparing or discovering patterns from his/her unique facial contours. Since every individual has a unique facial structure, this technology can analyze the features, match them with the information in […]

There is skepticism about Artificial Intelligence in recent times. Many fear the misuse of this cutting-edge technology and its less collaborative behavior with humans. But amid the COVID 19 pandemic, it has done more good than bad. AI in its current state is effective enough to help us in our fight against the coronavirus outbreak. […]