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

Latest updates on Segments.ai and data labeling

Annotating Ground Truth in Computer Vision: Vector vs. Segmentation Annotations

By |April 16th, 2024|

Accurately interpreting the environment is crucial in computer vision, especially in fields like autonomous vehicles and robotics. This requires assigning meaning to dataset elements, known as annotations or data labels. The two primary methods to annotate ground truth data are vector and segmentation (or pixel) annotations, each with unique strengths and applications. But which [...]

MCAP vs ROS bag: Simplifying Multi-Modal Sensor Data in Robotics

By |March 25th, 2024|

If you work with robotics or autonomous vehicle data, you're likely familiar with the challenges of efficiently storing and transferring multimodal sensor data. This can cause some headaches when sharing data with external vendors: How do you send over your recordings containing large volumes of lidar, radar, camera, and calibration data? How to package [...]

Software Tools For Robotics Landscape (2024)

By |March 21st, 2024|

In today's workforce landscape, where labor shortages and aging populations pose significant challenges, automation has become an urgent necessity. Thanks to advancements in artificial intelligence, robots could form a solution for these pressing issues. With crucial components like batteries and processors becoming more affordable, the potential for widespread robotic adoption across industries is on [...]

Team Spotlight – John Lee

By |March 14th, 2024|

In this team spotlight, we get to know John Lee, who has a long-standing background in data labeling tooling and services. Q: You have 6+ years of experience in the data labeling scene. What motivated your transition to Segments.ai? My journey in data labeling tooling and services began at Figure Eight, focusing [...]

The 8 Best Point Cloud Labeling Tools for 2024

By |February 23rd, 2024|

It's simply not enough to give a computer a large amount of data and expect it to learn – data has to undergo preparation for computers to find patterns within it. That's where data labeling platforms come in. For many ML models, it is enough to rely on images. However, automotive and robotics companies [...]

Better 3D sequence labeling, deep linking, and more

By |February 14th, 2024|

We’ve been hard at work in the first weeks of the new year to deliver you another round of exciting product updates. Let’s dive right in. Better 3D sequence labeling When labeling 3D sequences, having to switch frames frequently can slow you down. Our batch mode feature already helps you label moving objects faster [...]

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