Latest updates on Segments.ai and data labeling
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. [...]
Mastering Point Clouds: A Complete Guide to Lidar Data Annotation
Point clouds are collections of data points in a three-dimensional coordinate system. They are used in the automotive, construction, and robotics industries to capture detailed information about objects and environments. Lidar sensors are commonly used to generate those point clouds. These sensors use laser light to measure distances and analyze the resulting reflections. This [...]
Annotating Ground Truth in Computer Vision: Vector vs. Segmentation Annotations
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
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)
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 [...]
Better 3D sequence labeling, deep linking, and more
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 [...]
