data annotation
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Significance of Training Data for Self-Driving Cars
Training a new driver is straightforward and makes them practice until they can master basic skills well enough to pass a driver's license exam. But there are no such tests for Self Driving Cars, leaving it up to developers to decide when their techn...
tagx · 01 November 2023 · 1
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
AI in Insurance How it works and use cases
The insurance industry leads the way in its AI implementation. For each and every insurance actor, artificial intelligence and image recognition present opportunities to offer an enhanced user experience, to optimize costs, or even to free up staff f...
tagx · 08 November 2023 · 1
What is Synthetic Data Generation and its importance for AI
The success of AI algorithms relies heavily on the quality and volume of the data. Real-world data collection is costly and time-consuming. Furthermore, due to privacy regulations, real-world data cannot be used for research or training in most situa...
tagx · 07 November 2023 · 1
Computer Vision is transforming Security Surveillance
Security Cameras without Intelligence Surveillance is an essential aspect of security and patrol operations. For the most part, the work means spending long stretches of time on the lookout for something bad to happen. It is important that we do so,...
tagx · 17 November 2023 · 5
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
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
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
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
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
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
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
All The Important Things You Should Know About Data Annotation
Dedicated annotation providers conduct various annotation processes according to the data type and desired model. For instance, image annotation focus on helping models discern intended target subjects/objects in image data samples from the othe...
Jessica · 21 September 2022 · 27
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 · 1What is Content Moderation and types of Moderation?
Successful brands all over the world have one thing in common: a thriving online community where the brand’s fans and influencers engage in online conversations that contribute high-value social media content, which in turn provides incredible...
tagx · 19 November 2023 · 3
Data Annotation for Fine-tuning Large Language Models(LLMs)
The beginning of ChatGPT and AI-generated text, about which everyone is now raving, occurred at the end of 2022. We always find new ways to push the limits of what we once thought was feasible as technology develops. One example of how we are using technology to make increasingly intelligent and sophisticated software is large language models. On...
tagx · 27 January · 1