Road and Lane Annotation in 3D Maps
In this blog, we break down what road and lane annotation in 3D entails, why it’s foundational for AV performance, the operational challenges it introduces, and how FlexiBench helps leading teams annotate the world’s roads with accuracy, speed, and scalability.
3D Bounding Box Annotation Techniques
In this blog, we explore what 3D bounding box annotation entails, its use across industries, the challenges it introduces, and how FlexiBench helps AI teams label massive volumes of 3D spatial data with precision and scalability.
Instance Segmentation in 3D Data
In this blog, we break down what 3D instance segmentation entails, why it’s mission-critical for real-world AI applications, the technical challenges involved, and how FlexiBench enables enterprise teams to execute it with confidence, consistency, and speed.
Semantic Segmentation of 3D Environments
In this blog, we unpack what semantic segmentation in 3D entails, the value it brings across verticals, the technical hurdles it presents, and how FlexiBench supports teams in building scalable, semantically segmented 3D datasets.
Object Detection in 3D Point Clouds
In this blog, we explore the fundamentals of object detection in 3D point clouds, the industries driving its adoption, the annotation challenges it presents, and how FlexiBench enables teams to turn complex spatial data into high-impact AI training pipelines.
Surveillance Video Annotation for Security Applications
In this blog, we break down the essentials of surveillance video annotation, where it’s reshaping security operations, the challenges unique to this domain, and how FlexiBench provides the scale, tooling, and accuracy needed to train AI systems that help protect people, assets, and environments.
