Machine learning

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

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

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

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

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.

Defining MLOps, the whole end-to-end lifecycle stressing out the importance of each of the components. Giving an insight into why would a company need it to be employed.

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

So, you’ve got your data all set for labeling. What then? This comprehensive guide on data labeling is exactly what you need to get a headstart.

The best data labeling tools at your fingertips. Check out our detailed overview of the top 30 data labeling solutions in 2023 Q2 according to G2.

What is image classification and how does it work in machine learning? Let's explore the algorithms and deep neural networks for image classification.

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

Learn about convolutional neural networks and their development from the early 90s: a full timeline, application rundown, and much more.