Blog2024-07-08T10:45:01+02:00

Latest updates on Segments.ai and data labeling

Writing labeling guidelines for autonomy and multi-sensor use cases: structure and best-practice template

By |July 23rd, 2024|

High-quality perception systems of autonomous vehicles & robots often leverage a large corpus of labeled ground truth data. Generating these datasets requires a well-thought-through labeling specifications or guidelines document. Publicly available datasets often share the guideline documents, for example for 2D datasets such as Cityscapes or BDD100K or for 3D datasets such as [...]

New 3D segmentation features, Gaussian splat labeling, and more

By |July 16th, 2024|

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

By |July 5th, 2024|

.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?

By |May 27th, 2024|

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

By |May 22nd, 2024|

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

By |May 7th, 2024|

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 [...]

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