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Michael Abramov

Michael Abramov

What Is Data Annotation for Machine Learning, and Why Is It So Important?

What Is Data Annotation for Machine Learning, and Why Is It So Important?

Why do artificial intelligence companies spend so much time creating and refining training datasets for machine learning image processing? The answer is simple. All else being equal, the higher the quality of your training datasets, the better your machine learning application will perform. But what determines the high-level quality of

How to Choose the Right Image Annotation Tool for Your Machine Learning Application

How to Choose the Right Image Annotation Tool for Your Machine Learning Application

In the world of AI, data is king. And while data annotation may be the least glamorous aspect of machine learning, it’s also one of the most important. That’s because the performance of your algorithms hinges directly on the quality of the data you use to train them.

Image Processing Techniques: What Are Bounding Boxes?

Image Processing Techniques: What Are Bounding Boxes?

Bounding boxes are one of the most popular—and recognized tools when it comes to image processing for image and video annotation projects. Image processing techniques is one of the main reasons why computer vision continues to improve and drive innovative AI-based technologies. From self-driving cars to facial recognition technology—

Automated Data Labeling vs Manual Data Labeling: Optimizing Annotation

Automated Data Labeling vs Manual Data Labeling: Optimizing Annotation

Accurately labeled datasets are the raw material for the machine learning algorithms and deep learning revolution. Vast quantities of data are required to train new target object generations of Artificial Intelligence (AI). Correctly labeled images train computer vision systems to reliably distinguish between a stop sign and pedestrian. Or it

Creating Safer Roads with Image and Video Annotation

Creating Safer Roads with Image and Video Annotation

Professional annotation services, like Keymakr, are collaborating with industry leaders to push forward the development of automated transport infrastructure. In the field of autonomous vehicles high accuracy, high quality data labeling is supporting improvements in reliability and safety. However, automated systems for personal vehicles are just one part of creating

Overcoming Obstacles for Agriculture AI with Data Annotation

Overcoming Obstacles for Agriculture AI with Data Annotation

The coming century will see unprecedented challenges for agriculture and food production. By 2050 agricultural land will be required to feed an additional two billion people. This enormous increase in demand will coincide with pressures on supply caused by a changing climate and the increasing soil degradation. Securing the global