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Data Annotation Guidelines: Creating Clear and Effective Instructions

  • November 16, 2023
Data annotation is a critical component of training machine learning models. The quality of annotated data directly impacts the performance of AI models. To ensure high-quality annotations, it is essential to provide clear and effective annotation guidelines to annotators (human and otherwise).  Let’s see what the key principles for...
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Data Annotation: The Cornerstone of AI Model Training

  • September 14, 2023
Artificial intelligence is rapidly transforming the way we live and work. This magical sentient being is now found in every aspect of our lives, education or research. From self-driving cars to virtual assistants, AI is being used to automate tasks, make predictions, and improve decision-making. And let’s not forget...
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The Role of Data Labeling and Annotation in Machine Learning

  • July 18, 2023
Machine learning is a type of artificial intelligence that allows software applications to become more accurate. They help the AI in predicting outcomes without being explicitly programmed to do so. AI does this by learning the labels or codes humans, or programs teach them.  Machine learning algorithms are trained...
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The Impact of Data Labeling on Model Performance

  • July 14, 2023
Data labeling is the process of assigning labels to data points. This is an essential step in the machine learning process, as it helps the model to learn and make predictions. Hence data labeling services boost AI development in the world. The quality of the data labeling process can...
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