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
What are the Main Challenges of Data Annotation Practices?
The field of AI and machine learning is rapidly expanding and bringing remarkable advancements that benefit various industries worldwide. However, to develop automated machines or applications, a significant amount of training data sets and labelling...
InfoSearch BPO Services Private Limited · 15 March 2023 · 15
Insurance Claims: Data Annotation Types for Computer Vision
Machine learning is already being employed across multiple industries to automate the processes that are slowed down by manual, repetitive steps. With advanced algorithms, techniques, and frameworks under the hood, AI tools can accelerate the process of recognizing damaged vehicle parts, assessing damage, making predictions about what kind of repai...
Purushottam Sharma · 19 September 2023 · 2Evolution of Generative AI and its applications
In today's rapidly evolving world of artificial intelligence, generative AI has taken center stage and captured the attention of both technology enthusiasts and industry professionals. With the rise of powerful algorithms and advanced machine learnin...
tagx · 22 September 2023 · 7
AI and Annotation for Livestock Management
Historically, animal farming has always been decentralized, on a scale that a few individuals can get together and manage. And until a decade ago, most animal farmers did not have access to modern technologies such as high-speed internet, smartphones...
tagx · 04 November 2023 · 2
AI and Data Annotation for Augmented Reality
Augmented Reality (AR) is a digital media that allows the user to integrate virtual context into the physical environment in an interactive multidimensional way. AR software derives information about the surrounding environment from cameras and senso...
tagx · 26 October 2023 · 1
The Evolution of Foundation Models
Foundation models have emerged as revolutionary advancements in the field of artificial intelligence, paving the way for unprecedented capabilities in understanding and generating human-like text. These models, like GPT-3.5 (Generative Pre-trained Tr...
tagx · 14 October 2023 · 2
AI and Data Annotation Use cases for Sports
As we approach 2021, we can observe how far the world of sports has progressed. While statistics have always played an important role in sports, artificial intelligence (AI) has had a huge impact on audience engagement, game strategy, and t...
tagx · 21 October 2023 · 4
A Guide to Human Pose Estimation for AI
Human pose estimation and tracking is a computer vision task that includes detecting, associating, and tracking semantic key points. Examples of semantic key points are “right shoulders,” “left knees,” or the “left brake...
tagx · 19 October 2023 · 4
Computer Vision is accelerating Automation in Manufacturing
Computer Vision has become the most popular and benefited several industries over the past decade, especially in the manufacturing industry. Technology is making a significant impact at every stage of the manufacturing process, from using computer vi...
tagx · 20 October 2023 · 2
Synthetic 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 · 1Is Data Annotation Tech Legit? Revolutionizing Media with Accurate Data Insights
In the dynamic world of media and content creation, the utilization of data annotation technology has become increasingly prevalent, particularly in the context of analyzing audience behavior, personalizing content recommendations, and leveraging m...
give it · 12 January · 1
Insurance Claims: Data Annotation Types for Computer Vision
Machine learning is already being employed across multiple industries to automate the processes that are slowed down by manual, repetitive steps. With advanced algorithms, techniques, and frameworks under the hood, AI tools can accelerate the process of recognizing damaged vehicle parts, assessing damage, making predictions about what kind of repai...
Purushottam Sharma · 19 September 2023 · 1Training Data for Natural Language Processing
The spoken words you use in regular interactions with other people are known as natural language. Machines could not comprehend it not long ago. However, data scientists are already working on artificial intelligence systems that can comprehend natur...
tagx · 13 October 2023 · 2
What is Good Quality Training Dataset for Machine learning
Training data is the key input to machine learning and having the right quality and quantity of data sets is important to get accurate results. In the planning stages of a machine learning problem, the team is usually excited to talk about algorithms...
tagx · 11 October 2023 · 2
Vehicle Damage Assessment: Digitally transformed by Computer Vision and Data Annotation
Machine learning is already being employed across multiple industries to automate the processes that are slowed down by manual, repetitive steps. With advanced algorithms, techniques, and frameworks under the hood, AI tools can accelerate the process...
tagx · 23 October 2023 · 1