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

Explore sentiment analysis in NLP and find out how AI is used to understand emotions expressed in text data.

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

Learn how SuperAnnotate helped Prairie Robotics reduce recycling contamination by 40% and drive a sustainable future.

Large language models (LLMs): A complete overview from their workings to future trends, challenges, LLM market leaders and more.

Explore SuperAnnotate's LLM toolbox for ultimate customization, data governance, curation and many more. Learn about the wide range of use cases it covers.

Learn about panoptic segmentation and how it converges the realms of instance and semantic segmentation for smarter image analysis.

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.

Looking for the latest updates on data annotation? This article covers everything you need to know about tools, use cases, and future directions for data annotation in 2023.