Segmentation (Semantic & Instance)
Pixel-perfect labels for every object and region in a scene. We deliver semantic and instance segmentation datasets for production-grade perception systems.
Core Capabilities
Advanced technology built for enterprise scale.
Semantic Segmentation
Classifying every pixel into categories like road, sidewalk, vehicle, vegetation, and sky.
Instance Segmentation
Separating each object instance with unique masks—critical for crowded scenes and tracking.
Polygon Annotation
High-precision polygon masks for irregular shapes, fine edges, and occlusions.
Panoptic Segmentation
Combining semantic + instance segmentation for full-scene understanding in a single label space.
Quality Assurance (Mask QA)
Multi-pass QA with edge checks, class consistency validation, and overlap rules.
3D Segmentation
Point-level labels in LiDAR for terrain mapping, obstacle detection, and free-space estimation.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Autonomous Navigation
Drivable area detection, curb segmentation, and obstacle delineation for planning systems.
Robotics Manipulation
Separating objects and surfaces for grasp planning and pick-and-place automation.
Medical Imaging
Outlining organs, tumors, and lesions for diagnostic and treatment planning models.
Aerial Mapping
Land cover classification for agriculture, environmental monitoring, and urban planning.