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Inna Nomerovska

Inna Nomerovska

Inna Nomerovska is the VP of Marketing and Brand Strategy at Keymakr | Keylabs. She is a tireless technology enthusiast with 15 years of experience in international marketing and startup background.

Image Annotation for Life Sciences

Image Annotation for Life Sciences

Image annotation for life sciences includes many different specialities. There are many different applications in different fields. For example, medical image annotation is a specialty. It requires some medical knowledge and expertise for accurate labeling. It makes use of the right medical terminology to have the most useful labels. Medical

Data Labeling: Why Precision is Important

Data Labeling: Why Precision is Important

The main reason that precision is so important is that it impacts the quality and safety of your final AI product. This precision takes many forms. For example, if you want your AI to recognize a bicycle, it has to use pictures of bicycles labeled as bicycles in its training.

Best Practices for Image Annotation Projects

Best Practices for Image Annotation Projects

Image annotation is a crucial step in the training of machine learning models. Your model cannot correctly identify objects in images or videos without accurate annotations. Best practices can help ensure your image annotation projects go smoothly and efficiently. The best practices below will help you build machine learning models

KeymakrChallenges and Successes at Keymakr

Challenges and Successes at Keymakr

Here's our end-of-year interview summarizing 2022 Did the Keymakr team perform well throughout the year? Is this a genuine question? The team is the company’s heart, and when the heart works, everything else works too. We choose employees with “tweezers," so everything we have accomplished this

AI Data Annotation in the Food Service Industry

AI Data Annotation in the Food Service Industry

The food service industry is enormous and growing. Companies such as Starbucks and McDonald's bring in billions of dollars. However, the industry faces many challenges. For example, it suffers from a lack of workers, high labor costs, and increasing competition. Many industries have revolutionized their operations using AI

Five Uses for AI and Data Annotation in Sports

Five Uses for AI and Data Annotation in Sports

The sports industry is changing quickly. New technologies are taking center stage and transforming how players and teams interact. Artificial intelligence will play a central role in this transformation. From analytics to predictions, data-driven sports is no longer a thing of the future. Athletes will be able to take their

What To Do If You Have A Unique ML Data Annotation Project And No Data

What To Do If You Have A Unique ML Data Annotation Project And No Data

Suppose you have a computer vision or machine learning (ML) project and data for annotating. Great! You can use that data to build a training model. However, what if your project is unique and you don't have data to annotate? How do you get started? Creating training data