Blog2024-02-09T14:12:40+01:00

Latest updates on Segments.ai and data labeling

Building your internal data labeling software

By |January 29th, 2024|

Annotation or labeling tooling has multiple use cases. Think about labelling datasets to use for your ML pipeline or to highlight objects on an image to display on your platform. Your platform might be in need of such a tool, but since it's not the core of your business, you might consider building [...]

Team Spotlight – Jeroen Claessens

By |January 5th, 2024|

In this team spotlight, we get to know Jeroen Claessens as he shares his journey into computer science and data labeling tooling. Q: "On land, at sea, and in the air", would that be a good catchphrase for your career? I never thought of it that way, but that indeed applies to [...]

7 State-Of-The-Art Point Cloud Models for Autonomous Driving

By |December 13th, 2023|

Over the past couple of years most state-of-the-art computer vision (deep learning) models have converged to use the transformer architecture. This trend has also emerged in deep learning models that work on point clouds (or both point clouds and images). However, these models are still harder to generalize to other types of sensors, [...]

Leverage 3D annotations to drastically speed up 2D labeling, and more

By |December 12th, 2023|

In our last newsletter we announced our new multi-sensor labeling interface. This month, we're excited to introduce a new feature that will save you lots of time labeling multi-sensor data: 3D-to-2D bounding box projections! Leverage 3D annotations to speed up 2D labeling Let’s say your car or robot has a lidar sensor [...]

What data do you need for multi-sensor labeling?

By |December 5th, 2023|

In autonomous driving and robotics, combining camera images with lidar point cloud data can greatly improve the perception capabilities of the system. In the past, images and point clouds were often treated separately and labeled independently. Today, multi-sensor labeling brings significant advantages to the table. By combining and visualizing the data from multiple sensors [...]

Labeling challenges for underwater robotics

By |November 3rd, 2023|

Ocius Technology Ltd., an Australian firm committed to autonomous maritime surveillance, presented recently the newest addition to its AUV-line (Autonomous Underwater Vehicle): The iDrogue. Sarina, a robotics software engineer and the perception lead at Ocius at that time, shares her insights into the challenges and successes of developing an innovative underwater robotics system from [...]

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