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MarThe rise of artificial intelligence, popularly known as AI, hinges on one crucial element: data. But as data fuels innovation, concerns around data privacy and security in the world of data annotation for AI become paramount. Sensitive information often flows through undetected while annotating data, raising ethical and legal challenges that demand careful consideration. This article delves […]
06
MarApart from education, artificial intelligence has played a major role in making facial recognition a possibility for the utmost class. Now, not only administrative officials or business personnel but ordinary people can also provide their properties with an extra level of privacy and security with facial recognition tools. In this regard, data annotation has a crucial standing.[…]
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FebThe world is changing rapidly, and our technological advancement is changing in a similar way. Keeping in step with the advancing world, we have brought forward AI-based solutions for businesses. The accurate usage of data annotation and data labeling services incorporating cases like Facial recognition, Self-Driving automobiles, Video & Motion tracking, Figure Detection, and more are available[…]
08
FebMachine learning, aka ML models, is increasingly impacting our lives, from increasing security aspects to helping simplify complicated portions in many sections. However, these models are only as good as the data they’re trained on. Unfortunately, biased data can lead to biased models, boosting societal inequalities and errors. Resolving this issue requires thoughtful annotation practices during data[…]
03
JanBuilding an advanced machine learning model capable of performing its denoted task to the tee is a complicated process. This difficult task is carried out via a set structure of codes and commands. One such process is the annotation of the data provided to the AI or machine learning model for research and other purposes. If the[…]
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DecData labeling can be categorized into two different approaches: one is the automated approach, where machine learning models and AI take care of the complete labeling of data, and the other is the manual approach. Now, the manual method includes direct interference of humans to ensure accurate delivery of data and sources. This is how the human-in-the-loop[…]
