Latest updates on Segments.ai and data labeling
New 3D segmentation features, Gaussian splat labeling, and more
Today, we’re introducing some powerful new features that will make your life easier when segmenting large point clouds and point cloud sequences. We’re also excited to announce that we now support Gaussian splats in our 3D labeling interfaces. Let’s dive in! Merged point cloud mode for 3D segmentation Point cloud segmentation labeling can [...]
Inside .lumen: How they scaled their annotation process
.lumen's mission is deeply personal for Cornel Amariei. As the only non-disabled member of his family, Cornel witnessed the challenges faced by his relatives, inspiring him to develop technology that improves their quality of life. .lumen's core product, the .lumen glasses, aims to address the limitations of current mobility solutions for the visually [...]
3D Transformations: What are they used for in data annotation?
Use of 3D Transformations in 3D Data Annotation 3D transformations play a significant role in 3D data annotation, essential for training high-quality, safe deep learning models. 3D transformations are fundamental mathematical operations used in various scientific and technological fields, predominantly computer graphics and robotics. They consist of three primary [...]
Late vs early sensor fusion: a comparison
Sensor fusion is the process of combining data from multiple sensors (e.g. multiple cameras, lidars, and radars) to obtain a more accurate perception of the environment than what could be obtained by any individual sensor alone. It is a key technology in applications such as autonomous driving and robotics, which require accurate scene understanding [...]
[Guide] Label Gaussian Splats with Segments.ai
Gaussian splatting is a technique to render detailed 3D scenes. Instead of representing a scene as a set of meshes, a Gaussian splat represents the scene as a sort of point cloud, where each point is a 3D Gaussian. In 2023, Kerbl, Kopanas, et al. published a paper titled “3D Gaussian Splatting for Real-Time [...]
Best practices for ML teams: working with annotation providers and platforms
Computer vision technology has revolutionized multiple industries, from autonomous vehicles to advanced robotics. The foundation of these innovations lies in high-quality data annotation to build ground truth data, a critical yet complex process. This article, for computer vision engineers or data scientists, discusses some best practices for setting up and managing the annotation process. [...]
