Sensor Fusion Annotation
3D Bounding Box Annotation
3D Bounding Box Annotation, also known as cuboid annotation, is a technique used to annotate objects in three-dimensional space by enclosing them in a box that provides depth information along with height and width. This method is crucial for applications that require spatial awareness, such as autonomous driving, robotics, and augmented reality. Our 3D bounding box annotation services deliver precise and accurate annotations that help your AI models understand the size, position, and orientation of objects in a 3D environment, ensuring enhanced performance and reliability in complex tasks.
Point Cloud Segmentation
Point Cloud Segmentation is the process of dividing a 3D point cloud into meaningful clusters or segments that represent different objects or regions. This technique is essential for interpreting and analysing 3D data captured by LiDAR sensors, used extensively in autonomous vehicles, drones, and 3D mapping. Our point cloud segmentation services provide detailed and accurate segmentation, allowing your AI models to effectively distinguish between various objects and surfaces in a 3D space. By leveraging our expertise, you can enhance your 3D data analysis and improve the accuracy and efficiency of your AI-driven applications.
2D-3D Object Linking
2D-3D Object Linking involves associating objects detected in 2D images with their corresponding representations in 3D point clouds. This technique is critical for creating comprehensive, multi-modal datasets that combine the rich texture and colour information from 2D images with the spatial and depth information from 3D point clouds. Our 2D-3D object-linking services ensure precise and consistent alignment between 2D and 3D data, enabling your AI models to leverage the strengths of both data types. This integration is particularly valuable in applications such as autonomous driving, augmented reality, and advanced robotics, where understanding the environment in both 2D and 3D is essential for accurate perception and
Video Classification
Video Classification involves categorizing entire video clips into predefined classes based on their content. This technique is widely used in content recommendation systems, video search engines, and surveillance. Our video classification services offer precise and efficient labelling of video content, helping your AI systems understand and categorize vast amounts of video data quickly and accurately.
