DATA LABELING  Data labeling enables machines to gain an accurate understanding of real-world conditions and opens up opportunities for a wide variety of businesses and industries. Data labeling is the process of detecting and tagging unstructured data to structured datasets. The process can be manual or assisted by software. ...
Data annotation, an important step of data preprocessing in supervised learning. Machine Learning (ML) dictates 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 data to train machine learning models. Data...
DATA ANNOTATION  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...
Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work react like humans we all are aware of AI and it’s applications in our daily life nowadays but knowing this tech  Artificial intelligence (AI) is an area of computer science that emphasizes...
About Learning Spiral  Learning spiral, Data Labeling company has a workforce with a diverse set of skills and the ability to deliver data annotation and data labeling at scale. We have a rich history of 15+ years of handling sensitive data on a large scale. Our affordable Data Annotation...
Data Annotation provides better quality training data  Advance Data Annotation Techniques helps to improve the quality of training data in an interactive manner after human correction  Takes Less time and greater output. When it comes to machine learning and AI, no element is more essential than quality training data....
DATA ANNOTATION  Data annotation plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data annotation offers the initial setup for a machine learning model to provide accurate results.  Data annotation is an indispensable stage of data...
Content services provide automated processes that can save time and connect employees with the information they need to work most efficiently. Many business processes today involve information that comes from multiple sources, in diverse formats. Any business wanting to minimize human intervention and maximize automation needs to find the...
Computer vision abbreviated as CV is defined as a field of study that seeks to develop techniques to help computers see and understand the content of digital images such as photographs and videos. Our work in Computer Vision & Machine Learning powers innovation in the area of various sectors...
Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. Know-How we help in NLP projects  Our trained...