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 d...
19 September 2023
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Purushottam Sharma
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 d...
19 September 2023
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Purushottam Sharma
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 d...
19 September 2023
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Purushottam Sharma
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 visual information from the world, such as images, video...
18 September 2023
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Purushottam Sharma
Data Curation: Key step for AI/ML Data preparation
Data curation for AI refers to the process of selecting, cleaning, and organizing data to make it suitable for use in AI and machine learning applications. The goal of data curation is to provide high-quality, accurate, and relevant data to train and improve AI models. The process involves removin...
16 September 2023
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Purushottam Sharma
Data Labeling Wars: Humans vs. Machines
In the age of artificial intelligence and machine learning, data is the backbone that empowers algorithms to make sense of the world. The accuracy and reliability of data play a decisive role in the success of AI applications, and data labeling is a critical step in preparing datasets for training...
15 September 2023
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Purushottam Sharma
Introduction to Reinforcement Learning from Human Feedback
The vast realm of artificial intelligence, a groundbreaking concept has emerged: Reinforcement Learning from Human Feedback (RLHF). Imagine a world where AI agents learn complex tasks efficiently by incorporating human expertise. It’s a paradigm shift that combines the power of human guidance...
12 September 2023
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Purushottam Sharma
How AI and the Human-in-the-loop Redefine Content Moderation
In today's digital age, where internet access is widespread and the abundance of digital media is at our fingertips, users face a significant risk of being exposed to inappropriate content. This conte...
28 August 2023
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Purushottam Sharma
Outsourcing Data Annotation: Benefits, Risks, and Best Practices
Introduction
In the age of artificial intelligence and machine learning, high-quality labeled data is the bedrock upon which successful models are built. Data annotation, the process of labeling data...
12 August 2023
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Purushottam Sharma
