Expert 3D Cuboid Annotation to Enhance Object Tracking and Spatial Understanding.
At Precise BPO Solution, we offer high-quality 3D Cuboid Annotation Services designed to power next-generation computer vision and autonomous systems. Our expert annotators accurately draw three-dimensional bounding boxes around objects within 2D visual data, enabling AI models to understand real-world spatial structures with exceptional clarity.
Unlike traditional 2D bounding boxes that define only height and width, 3D cuboid annotation adds depth and orientation, providing a complete spatial representation of objects in the environment. This enhanced layer of annotation improves model performance for applications that require accurate object localization, orientation, and scene understanding.
By adding a third dimension to traditional 2D annotations, 3D cuboid labeling empowers AI models with advanced spatial understanding-crucial for autonomous vehicles, robotics, AR/VR, and other cutting-edge applications.
Training perception models to detect cars, pedestrians, cyclists, and road objects with precise depth and orientation for safe navigation.
Enabling robots to interact with their surroundings accurately by understanding object dimensions and spatial positions.
Enhancing urban monitoring systems with 3D-aware object localization for traffic analysis, crowd detection, and public safety.
Supporting automated warehouse operations through volume estimation and spatial analysis of products.
Creating immersive experiences by labeling objects in 3D for accurate rendering and real-time interaction.
Annotation of complex objects with irregular shapes
Multi-class, multi-object scene labeling
Support for autonomous driving datasets (street scenes, LiDAR-camera fusion)
Project-specific labeling guidelines and tool customization
Quality assurance through multi-step validation and review
Requirement Understanding
Understand client objectives, types of objects (vehicles, pedestrians, obstacles), and annotation specifications (cuboid dimensions, orientation, labels).
Data Collection
Gather LiDAR point clouds, 3D sensor data, or stereo camera data from client or public datasets.
Cuboid Annotation
● Draw precise 3D bounding boxes around target objects in point clouds or 3D scenes.
● Label objects with required classes and attributes according to client guidelines.
Quality Check (QC)
Multi-level review to ensure cuboid accuracy, orientation correctness, and labeling consistency.
Client Review & Feedback
● Share annotated samples for validation.
● Incorporate feedback to ensure compliance with AI/ML model requirements.
Final Delivery & Support
● Deliver fully annotated 3D datasets in requested formats (KITTI, COCO 3D, etc.).
● Provide ongoing support for additional annotation batches or dataset updates.
Cross-industry expertise
Mobirise