Blogs

Due to the simultaneous expansion of artificial intelligence and machine learning, there has been a growing need for both correct and relevant training data. This crudely annotated labeled data is the foundation that AI models learn from and get trained on. With India emerging as an AI powerhouse, classified labeled data has become a crucial... Continue Reading

Despite its lack of glamour, data annotation is quietly emerging as one of the key areas of competition in a world where AI technology and its rapid development have become increasingly competitive. Individuals and large organizations alike face significant challenges due to outsourcing obligations in a world where backup responsibilities increasingly burden data annotation. The... Continue Reading

Many machine learning (ML) projects require hundreds of thousands to millions of tagged data points for typically effective machine learning outcomes. Now in the era of digitization, this is even more factual as AI/ML evolves into a next-generation company imperative. This data annotation outsourcing is beneficial. More than just a time saver, this can make... Continue Reading

It is armed with databases of annotated data that “teach” AV systems to visually process and understand the world, which in turn lies at the core of what will one day power incredible autonomous vehicles (AVs). A new report from Allied Market Research forecasts the global autonomous vehicles market will reach $556. It continues to... Continue Reading

Image annotation sets the norms that the model tries to copy and all imperfections in labels. As a result, the more accurate annotation of images is even considered to be one of the most crucial works in computer vision. Image annotation requires to be done manually, and again, it can be annotated through this automatic... Continue Reading