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Month: November 2020

Learning Spiral AI > Blogs > 2020 > November
Data Annotation

Data Annotation in 2020

Data Annotation in 2020 is used to create huge amounts of annotated data like pictures text images videos that are used to train machines and make them functional for AI-based projects. With accurate Data Annotation machines can improve their learning and AI keeps evolving. It covers many important areas...
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Data Annotation

Learning Spiral: Data Annotation Service Provider

Learning Spiral, a Data Labeling company with its experience with international clients possesses immense domain knowledge in this field. We provide skilled professionals for high-quality data annotation/labeling solutions with scalability, flexibility, and high standards of security.  Learning Spiral is partnering with some of the leading global companies focusing on...
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Data Labeling

Data Labeling for Machine Learning

Data Labeling  Data labeling is one of the most important tasks of AI. It 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...
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Data Annotation

All you need to know about Video Annotation

Video Annotation Learning spiral provides video annotation services to provide accurate data for self-driving cars and many other use cases. Build comprehensively labeled video datasets with Learning Spiral suite of video annotation services. From object localization to video tracking, Learning Spiral has the experience and technology necessary to serve...
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Data Annotation

AI trends in 2021

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...
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Data Labeling

AI & It’s Terminologies Part 2

N: Natural language processing (NLP)  Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence.  It is 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. Our trained...
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Data Annotation

AI & It’s Terminologies Part 1

A: ANNOTATION  Annotation is the process of labeling data to make it understandable for machine learning and it’s utmost necessary to have accurate sets for Machine Learning.  Data annotation, an important step of data preprocessing in supervised learning. Machine Learning (ML) dictates a new approach to business – one...
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