Explore how AVs learn to see: Key labeling techniques, QA workflows, and tools that ensure safe and scalable autonomous driving. Self-driving cars are no longer confined to science fiction. Today, they are quietly delivering packages, mapping urban environments, and navigating…

How multi-annotator validation improves label accuracy, reduces bias, and helps build reliable AI training datasets at scale In the field of machine learning (ML) and artificial intelligence (AI), the principle of “garbage in, garbage out” remains highly relevant. Model performance…

Discover the world of point cloud object detection. Learn about techniques, challenges, and real-world applications. Introduction Point cloud object detection is reshaping the way machines perceive and interpret three-dimensional environments. By enabling systems to understand spatial structure and object geometry,…

Understand how far Lidar sensors can detect and the factors that influence their range, including sensor specifications, atmospheric conditions, and technological advancements. LiDAR (Light Detection and Ranging) is an advanced remote sensing technology that uses laser pulses to measure distances…

Lidar technology has rapidly expanded across multiple industries thanks to major advancements in sensor capability, improved processing power, and a significant reduction in cost. Below is an expanded look at how Lidar is being applied today. Introduction to Lidar  …

Learn the essentials of video annotation for machine learning and computer vision-techniques, tools, applications, and future trends. Introduction Video annotation refers to the process of labeling elements within video footage so machine learning (ML) models can understand motion, actions, and…

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…