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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.

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

Challenges 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

How A Bias was Discovered and Solved by Data Collection and Annotation

How A Bias was Discovered and Solved by Data Collection and Annotation

Computers and algorithms by themselves are not by their nature bigoted or biased. They are only tools. Bigotry is a failure of humans. Bias in an AI usually comes from using small datasets. It was discovered in the first facial recognition algorithms and solved with data innovation and using larger

Combating Climate Change With Computer Vision Video Annotation

Combating Climate Change With Computer Vision Video Annotation

In the past few years, there has been increasingly more news about the harmful effects of climate change on our planet. Luckily, people are working on this issue daily. Scientists are studying the causes of climate change. And engineers are discovering ways to mitigate its effects using computer vision video