Machine learning

The best data labeling tools at your fingertips. Check out our detailed overview of the top 30 data labeling solutions in 2024 Q3 according to G2.

What is data labeling, and how does it work? Discover the different types of data labeling and learn the best practices to implement them effectively.

What is supervised learning, and what are other branches of machine learning? Read the article and gain insights on how machine learning models operate.

Discover image segmentation types, techniques, and applications. Leverage your image segmentation project by reading this detailed overview.

AutoML to unlock the power of machine learning. Stay up-to-date with our comprehensive guide, featuring the latest updates for 2024.

Pattern recognition is an integral part of image processing. In this article, we’ll walk you through the staples of pattern recognition in machine learning.

Why use an activation function and how to choose the right one to train a neural network? Get answers to these questions and more in this post.

The evolution of object detection models starting from machine learning models utilizing hand crafted features to transformer architectures.

Explore embeddings in ML: dive deep into zero-shot & one-shot annotations and uncover the power of vector similarity search. Master modern techniques today!

Intersection over Union (IoU) is a crucial object detection metric. Learn how to estimate model accuracy with IoU for evaluating performance.

Unlock the potential of machine learning with MLOps: Streamline development, deployment, and maintenance for efficient, scalable AI solutions.

Discover what is mean average precision (mAP) in object detection, learn about evaluation metrics, calculation methods and interpretation of mAP scores.