Description

Are you interested in Artificial Intelligence, Autonomous Vehicles, Computer Vision, or Data Annotation but don’t know where to start?This course is designed specifically for beginners who want to learn the fundamentals of Image Annotation and LiDAR Annotation using industry-standard techniques and tools. Whether you’re looking to start a career in data annotation, work on AI training datasets, or simply understand how AI systems are trained, this course will give you the practical knowledge and confidence to get started.Throughout the course, you’ll learn by following step-by-step demonstrations, real-world examples, and hands-on practice projects. You’ll understand not only how to annotate data but also why accurate annotation is essential for building reliable AI models.By the end of this course, you’ll have a solid foundation in image and LiDAR annotation, understand quality control workflows, and be ready to practice with real datasets.What You’ll LearnUnderstand the fundamentals of Data Annotation and AI training data.Learn the basics of Image Annotation and LiDAR Annotation.Understand LiDAR point clouds, sensors, frames, and cuboids.Create accurate Bounding Box annotations.Learn industry best practices for high-quality annotations.Use CVAT to create, edit, and manage annotation projects.Understand common annotation mistakes and how to avoid them.Perform Quality Check (QC) and review annotations like a professional.Practice with real-world annotation exercises and projects.Build a strong foundation for AI and Computer Vision annotation tasks.