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Tatiana Verbitskaya

Tatiana Verbitskaya

Tatiana Verbitskaya is a Solutions Engineer dedicated to solving complex problems. In addition to her client-facing work at Keymakr, she is also an active contributor to the computer vision community.

Machine Learning

Data Annotation for Foundation AI Models

AI baseline model annotation is used to create large, annotated datasets for AI development. Baseline models reduce the need for labeled data by annotating only thousands of examples for tasks that previously required a larger number. The use of baseline models has demonstrated cost-effectiveness. This is encouraging companies to adopt

Machine Learning

Calculating ROI for Data Annotation: Metrics That Matter

ROI (Return on Investment) in the context of data labeling is an indicator that helps to assess how much the cost of labeling pays off and affects the efficiency of AI and business in general. To estimate ROI correctly, you need to consider the cost and quality of the labeled

Machine learning

From Speech to Text: Top for Annotating Audio Transcriptions

With the rise of artificial intelligence, audio transcription annotation is the key to better communication. We use automatic speech recognition (ASR) technology to convert spoken words into written text. This technology offers real-time transcription and automates tasks, improving productivity and making content more accessible to people with hearing loss. ASR

Machine learning

Advanced Error Analysis: Identifying and Correcting Annotation Mistakes

Data annotation plays an essential characteristic in satisfying AI and object detection applications. Incorrect annotations can cause setbacks in AI-installed systems, such as fault prediction in self-reliant automobiles or diagnostic accuracy in medical AI. Let’s explore sensible strategies and discuss the real-worldwide outcomes of annotation inaccuracies, putting the extent

Data Annotation

The Future of Logistics: AI Drones Streamlining Delivery and Supply Chain Management

In this article, we explore how these intelligent flying machines are changing the logistics industry. They are not just a novelty but a critical component of AI Drones Supply Chain Management. They help address major challenges like speed, cost, and environmental impact. By using artificial intelligence logistics, companies can boost

Machine learning

Transforming Retail Experiences with Video and Image Data Annotation

To stay ahead and meet customer demands, adopting top-notch retail data annotation services is critical. Retail image and visual data annotation make product recognition easier and keep up with consumer trends. They also boost the shopping experience. By using these technologies, retailers can better serve customers and streamline operations. This

Data Annotation

Revolutionizing Waste Management with AI-Powered Data Annotation Services

The world is rapidly urbanizing, making traditional waste management methods insufficient. The World Bank forecasts that waste production will hit 3.4 billion tonnes annually in 30 years. This highlights the urgent need for advanced, scalable solutions. Waste management data annotation can help us tackle these challenges by automating disposal.