The use of Lidar in archaeology has revolutionized the field, uncovering valuable ancient secrets in the process. Find out how in this blog. Introduction Lidar (Light Detection and Ranging) has reshaped modern archaeology by enabling researchers to reveal structures and…

Explore various 3D point cloud segmentation techniques, including ML models like Point-net, K-means clustering, region growing and more. Introduction Point cloud segmentation refers to the process of dividing a 3D point cloud into identifiable and meaningful regions or objects. A…

Pose estimation is a powerful Computer Vision technique designed to precisely track body movements in humans and animals. This article explores what pose estimation is, how it works, what techniques are used, and the wide range of applications it enables.…

Compared to bounding boxes, polygons enable far more precise object detection. In this article, we explore polygon annotation — its advantages, tools, use cases, and why it’s a critical component of accurate computer vision systems. Introduction Are you facing challenges…

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…