data annotation
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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 an...
10 October 2023
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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...
26 February
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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...
24 February
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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 d...
23 February
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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 t...
20 February
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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 equ...
19 February
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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...
17 February
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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...
16 February
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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 th...
15 February
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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...
14 February
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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...
13 February
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How 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...
10 February
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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...
08 February
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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 s...
27 January
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Is 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, perso...
12 January
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What 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...
19 November 2023
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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 somet...
17 November 2023
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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 experie...
08 November 2023
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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 can...
07 November 2023
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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 tec...
04 November 2023
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