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VRMesh AI: Multi-Layer 3D Mesh Labeling Software
From Raw 3D Data to Robot Intelligence: VRMesh AI turns complex 3D scan data into accurate, production-ready training datasets for AI and robotics. We help teams label and structure real-world 3D meshes faster and with higher precision.
Built for Real-World Robotics:
robots operate in messy, unstructured environments. VRMesh AI delivers the high-quality 3D annotations needed for reliable perception, navigation, and interaction in homes and factories.
Designed to Scale:
our end-to-end platform handles large 3D datasets efficiently, helping you move from data capture to deployment with less time and effort.
Key Capabilities:
Automated Point Cloud Refinement: Intelligent cleanup to ensure peak data integrity.
Optimized Meshing: High-accuracy point-to-mesh conversion tailored for neural network training.
Precision Segmentation: Edge and corner detection for hyper-accurate object boundary definition.
Multi-Layer Semantic Labeling: Hierarchical tagging for deep spatial and environmental understanding.
Universal Integration: Seamless export in flexible formats like JSON and NPZ for any AI pipeline.
Working Examples:
>> Scalable Simulation and Realistic Digital Twins | |
>> Multi-Layer 3D Mesh Labeling Tested on Google Scanned Objects | ||
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>> Multi-Layer 3D Mesh Labeling Tested on Intel Scanned Objects | |
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