A look at the ethical concerns surrounding the unsung heroes of AI – data annotators – and ways to safeguard their well-being. High-quality annotated data is key to AI As Artificial Intelligence (AI) continues to influence nearly every aspect of…

OCR image annotation transforms text in images into valuable data for NLP use-cases. Explore techniques, tools, and best practices for effective OCR data annotation. Introduction     Optical Character Recognition (OCR) is a transformative technology that converts various types of…

Explore the fundamentals of point clouds and Lidars — how they differ, their file formats, advantages, and much more. Point clouds play a vital role in modern 3D modeling and spatial data analysis. They are foundational in applications ranging from…

We explore everything about oriented bounding boxes — advantages, model architectures, tools, challenges, and more. Difference Between Object Prediction with Regular Bounding Boxes vs Oriented Bounding Boxes   In building Computer Vision systems, the precision of object detection models largely…

Unlocking AI potential: The significance of high-quality training data for successful projects Introduction In the world of Artificial Intelligence (AI), the success of any project depends greatly on the quality of its training data. Training data forms the core from…

Discover how 2D cuboid annotation can enhance object detection accuracy. Learn best practices, tools, and techniques for annotating 3D objects, and improve your AI and machine learning models with precise cuboid annotations. This article focuses on cuboid annotation for 2D…

There are many types of point cloud file formats used in different industries today. In this article, we explore the most common formats and explain how to process them effectively. The rapid decline in the cost of LiDAR devices, together…

Learn everything you need to know about polyline annotations – what they are, where they’re used, and the benefits they offer. Polyline annotation is one of the most widely used techniques in computer vision and machine learning, especially when it…

Fusion of lidar data with cameras provides complementary information and enables powerful detection capabilities. Let’s explore the various sensor fusion techniques, benefits, applications and more. Individual sensors like Lidars and cameras deliver strong capabilities when used independently, but each also…

Introduction to keypoint annotation – what it is and where it is used Keypoint annotation for hand gesture recognition Think about modern sports broadcasts that highlight a player’s movement, calculate running speed, or predict their next move. Or the way…