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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.

Computer Vision

Managing Distributed Annotation at Scale: Tools and Techniques

As AI applications grow more sophisticated, the demand for high-quality, accurately labeled datasets has never increased. Scalable data labeling tools are essential for managing distributed annotation workflows, ensuring that your machine learning models are accurate and reliable. Whether you are working with image, video, or audio data, the right approach

Machine Learning

Semi-automated labeling: combining human judgment with machine speed

Data annotation is a key component for developing machine learning models. Semi-automated labeling combines human control with the speed of automated algorithms. This approach simplifies the data annotation process, reducing the laboriousness of manual labeling. Data labeling automation uses consistent and accurate data labeling based on predefined rules and algorithms.

Computer Vision

Building Annotation Performance Dashboards for Continuous Improvement

Creating annotation performance dashboards for continuous improvement involves building a system that tracks, analyzes, and visualizes the quality and effectiveness of data annotations over time. These dashboards help teams understand annotation accuracy, consistency, speed, and areas for improvement. For visualization, a dashboard should present clear, interactive charts highlighting trends and

Data Annotation

Security and Surveillance: Annotating Camera Footage for Threat Detection

Annotation of surveillance video significantly increases threat detection efficiency, allowing security systems to recognize and classify potential dangers quickly. This approach contributes to creating effective early warning systems and helps law enforcement agencies respond more rapidly to threats. The software uses AI labeling tools and video analysis to increase threat

Machine Learning

Exploring Synthetic Data Tools: Faster Training with Less Manual Labeling

In today's AI world, synthetic data is becoming an important key to increasing efficiency. It significantly reduces the need for manual labeling and speeds up the process of training models, which contributes to significant breakthroughs in machine learning. With the use of synthetic data, artificial intelligence learns much

Data Annotation

Motivating and Incentivizing Annotators: Improving Accuracy and Speed

Engaging highly skilled annotators is key to improving the accuracy and speed of data markup in AI projects. As AI models become increasingly complex, the need for high-quality annotated data is skyrocketing. Effectively motivating annotators, recognizing their role, and using optimal annotation strategies help ensure high data quality and increase

Data Annotation

Metadata Management: Enhancing Annotated Datasets

Metadata management optimizes annotated datasets, improving data quality and processing capabilities. Collecting, storing, and using metadata improves a dataset's context and understanding. Metadata management is the processing of metadata that helps to discover data, verify quality, and ensure compliance. Metadata management enables organizations to manage large volumes of