Inna Nomerovska

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

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

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

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

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

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