Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. We all are aware of AI and its applications in our daily life nowadays but knowing this tech deeply is something else. Machine Learning (ML) and Deep...
All of AI’s research efforts have focused on constructing specialized artificial intelligence, and the results have been spectacular, especially over the last decade. This is thanks to the combination of two elements: the availability of huge amounts of data, and access to high-level computation for analyzing it. And also...
Data annotation is an indispensable stage of data preprocessing in supervised learning. Artificial Intelligence (AI) and Machine Learning (ML) dictate a new approach to business – one that requires plenty of data. It’s a crucial task for machine learning because data scientists need to use clean, annotated, organized data...
Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. Artificial Intelligence (AI) is bringing drastic changes in technical fields, where it can be implemented to automate the system for more efficiency and performance while we are quite unaware of how AI is making daily life easier and...
Data annotation consists, text annotation, image annotation, and video annotation using the various techniques as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML while image annotation is a very important type of image annotation....
Machine learning is what powers AI systems & machine learning is powered by Data Labeling, Data Annotation especially including image annotation and powering ML algorithms. So, it’s one of the important steps that machine learning systems must be trained on data. And seeing to its significance half of the time...