Skeleton annotation to detect human activity Have you ever wondered how smart fitness apps can measure your squats with precision, or how motion-capture systems create lifelike character animations? The answer lies in skeleton annotation, a core computer vision technique that…

We take a comprehensive look at how Lidars operate, what types of Lidars exist, what advantages they offer, and where they are used. Lidar – short for Light Detection and Ranging – is a remote sensing technology that has rapidly…

What are Semantic and Instance segmentation techniques, and how do they differ from each other. Instance vs Semantic Segmentation Differences between Semantic and Instance segmentation techniques Image segmentation is a fundamental task in computer vision, helping machines interpret visual information…

Machine Learning starts with data—but not just any data. The accuracy, fairness, and reliability of your ML models depend directly on how well the data is collected, cleaned, and prepared. In this guide, we’ll explore practical strategies to ensure your…

Explore the intersecting worlds of Data Annotation and MLOps, and learn how they work together to build high-quality machine learning pipelines.     Annotated data is essential for enabling Machine Learning models to learn and make predictions. While machine learning…

Image segmentation is essential in Computer Vision as it enables machines to analyze and interpret visual data at a detailed level. Among segmentation techniques, Instance Segmentation and Panoptic Segmentation are two widely adopted approaches. Although both aim to divide an…

Outsourcing your data annotation tasks is not always an easy decision. This article helps you evaluate whether it’s the right move for your organization.     Should you outsource data annotation? Data labeling is resource-intensive, complex, and often inefficient when…

Essentials of Video Annotation: Types, Techniques, and Applications for Enhanced Machine Learning Models Have you ever wondered how security systems detect suspicious behavior in real time, or how sports teams break down gameplay so accurately? The secret lies in Computer…

3D point clouds have become essential in fields such as robotics, autonomous vehicles, and forestry. Compared to traditional sensing technologies like cameras, point clouds offer significant advantages that make them highly suitable for industrial and scientific applications. In this article,…

    Semantic Segmentation is a Computer Vision technique used to identify and separate different objects or regions within an image. Unlike traditional segmentation methods that rely solely on physical attributes such as brightness, contrast, or color, semantic segmentation operates…