Data Annotation for Computer Vision & AI-Powered Labeling

Plainsight

Learn computer vision data annotation techniques for object detection, instance segmentation, classification, and feature point clustering.

<p>Join this computer vision data annotation workshop to learn about labeling data for object detection, instance segmentation, classification, feature point clustering and how to speed up the process using AI-Powered labeling tools. </p><p>We’ll be using Sixgill’s Sense Data Annotation tool. <a href="https://sixgill.tech/ai-powered-labeling" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Sign up for free here</a> (<a href="https://sixgill.tech/ai-powered-labeling" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.tech/ai-powered-labeling</a>). </p>

<h3></h3><h3>What we'll cover:</h3><p><strong>Using AI-Powered tools to speed up data annotation:</strong></p><ul><li>Smart polygon selection</li><li>Track labeled objects from frame-to-frame</li><li>Automatically label common classes using pre-trained models</li></ul><p><strong>How to label for common computer vision projects:</strong></p><ul><li>Rectangles (bounding boxes) for object detection</li><li>Polygons (masks) for instance segmentation</li><li>Feature points for pose estimation</li><li>Classes for classification</li></ul><p><strong>How to Export your labeled dataset to commonly used formats :</strong></p><ul><li>COCO</li><li>VOC Pascal</li><li>Create ML</li><li>YOLO</li><li>Sixgill Sense JSON format</li></ul><p>We’ll be using Sixgill’s Sense Data Annotation tool. <a href="https://sixgill.tech/ai-powered-labeling" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Sign up for free here</a> (<a href="https://sixgill.tech/ai-powered-labeling" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.tech/ai-powered-labeling</a>). </p><p><strong>Questions and Answers:</strong></p><p>This is an interactive workshop, so I’ll be answering questions as we go. But I’ll also leave time open at the end to answer questions about computer vision labeling and the Sixgill AI Platform and Services. </p><h3>What you’ll need:</h3><ul><li>A modern web browser</li><li>Sign up free for Sense Data Annotation (<a href="https://sixgill.tech/ai-powered-labeling" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.tech/ai-powered-labeling</a>)</li></ul><h3>Who should attend:</h3><p>Anyone interested in learning how to label data for computer vision! We will cover training options in other workshops. Check out our events page for more details (<a href="https://sixgill.com/events/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.com/events/</a>).</p><h3>About the instructor:</h3><p>Sage Elliott will be leading this workshop. He's passionate about making AI approachable for everyone and loves building things with technology. Connect with Sage on LinkedIn: <a href="https://www.linkedin.com/in/sageelliott/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://www.linkedin.com/in/sageelliott/</a></p><h3>About Sixgill:</h3><p>Sixgill makes AI easy and accessible for all, so all can benefit. We provide an industry-first AI platform for end-to-end computer vision and machine learning lifecycle management. All in one powerful yet simplified interface, users of the Sixgill Sense platform get integrated tools for camera/device management, data annotation, model creation, and flexible edge, cloud, on-premise, or hybrid deployment. Sixgill accelerates and streamlines the success of AI-powered computer vision applications at any scale. Read more at <a href="https://sixgill.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.com/ </a>or contact Sixgill for any questions at <a href="https://sixgill.com/contact/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://sixgill.com/contact/</a></p>

Data Annotation for Computer Vision & AI-Powered Labeling

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Data Annotation for Computer Vision & AI-Powered Labeling

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