data annotation
(39)
How Training Data is prepared for Computer Vision
As humans, we generally spend our lives observing our surroundings using optic nerves, retinas, and the visual cortex. We gain context to differentiate between objects, gauge their distance from us and other objects, calculate their movement speed, a...
tagx · 10 October 2023 · 98 · 1
How NLP can increase Financial Data Efficiency
The finance sector is driven to make a significant investment in natural language processing (NLP) in order to boost financial performance by the quickening pace of digitization. NLP has become an essential and strategic instrument for financial...
tagx · 26 February · 1
MLOps and ML Data pipeline: Key Takeaways
If you have ever worked with a Machine Learning (ML) model in a production environment, you might have heard of MLOps. The term explains the concept of optimizing the ML lifecycle by bridging the gap between design, model development, and operati...
tagx · 24 February · 2
Implementation of Artificial Intelligence in Gaming
What is AI in Gaming? AI in gaming is the use of artificial intelligence to create game characters and environments that are capable of responding to a player’s actions in a realistic and dynamic way. AI can be used to create believable ch...
tagx · 23 February · 2
How Data Annotation is used for Speech Recognition
Speech recognition refers to a computer interpreting the words spoken by a person and converting them to a format that is understandable by a machine. Depending on the end goal, it is then converted to text or voice, or another required format. For i...
tagx · 20 February · 1
AI and Data Annotation for Manufacturing and Industrial Automation
Industrial automation refers to the use of technology to control and optimize industrial processes, such as manufacturing, transportation, and logistics. This can involve the use of automation equipment, such as robots and conveyor belts, as well...
tagx · 19 February · 1
How Data Annotation is used for AI-based Recruitment
The ability of AI to assess huge data and swiftly estimate available possibilities makes process automation possible. AI technologies are increasingly being employed in marketing and development in addition to IT. It’s not surprising that...
tagx · 17 February · 1
The Ultimate Guide to Data Ops for AI
Data is the fuel that powers AI and ML models. Without enough high-quality, relevant data, it is impossible to train and develop accurate and effective models. DataOps (Data Operations) in Artificial Intelligence (AI) is a set of practices and proce...
tagx · 16 February · 1
Data Annotation for Smart Security and Surveillance
Computer vision is a rapidly growing field of artificial intelligence that is revolutionizing the way we interact with technology. It involves the development of algorithms, models, and systems that enable computers to understand and interpret vi...
tagx · 15 February · 1
Data Annotation: How it Can Boost Your AI Models?
As artificial intelligence (AI) continues to revolutionize various industries, data annotation has become an essential part of the process. Essentially, data annotation involves labeling data to make it usable for machine learning algorithms. By prov...
tagx · 14 February · 2
Data Annotation Outsourcing: How to choose a reliable vendor
Artificial Intelligence (AI) has rapidly grown and transformed the way businesses operate and interact with their customers. The success of an AI model is heavily dependent on the quality of the data it is trained on. This is why AI companies re...
tagx · 13 February · 1
Unlocking Insights: Exploring the Power of Data Scraping in the Digital Age
In today's digital age, data is being generated at an unprecedented rate. From online platforms and social media to e-commerce websites and research databases, a vast amount of information is readily available for those who know how to harness it...
tagx · 12 February · 1
The Invisible Heroes of AI: Understanding the Significance of Data Annotation
In the realm of artificial intelligence (AI), behind every groundbreaking algorithm and every revolutionary model lies an often overlooked yet indispensable process – data annotation. While AI is celebrated for its transformative potential across industries, from healthcare to finance, the quality of its output is intricately linked to the qu...
Globose technology solution Pvt. Ltd · 12 February · 1How Data Annotation drives precise AI Video Analytics
In the era of data-driven insights and intelligent automation, video analytics has emerged as a transformative technology, revolutionizing the way we extract valuable information from video data. At the heart of this innovation lies the power of artificial intelligence (AI) and its ability to analyze and interpret video content with remarkabl...
tagx · 10 February · 1Synthetic Document Generation for NLP and Document AI
NLP (natural language processing) and document AI are technologies that are quickly developing and have a wide range of prospective applications. In recent years, the usage of NLP and document AI has significantly increased across a variety of industries, including marketing, healthcare, and finance. These solutions are being used to streamline man...
tagx · 08 February · 1Unveiling the Power of Data Annotation Technologies in Machine Learning
In the realm of machine learning, the accuracy and reliability of models hinge on the quality of annotated data. Data annotation technologies play a pivotal role in transforming raw data into a structured, labeled format, providin...
give it · 03 February · 1