Multimodal Labelling & Annotation
2D Bounding Boxes: High-precision rectangular tagging for object detection. We provide pixel-perfect boundary definition for multi-class objects. Whether it's retail inventory or urban traffic flow, our 2D boxes ensure your models achieve industry-leading MAP (Mean Average Precision) scores. Complexity: Standard objects, clear visibility.
Polygon Segmentation: Precise, vertex-by-vertex outlining of complex shapes. When "close enough" isn't enough. Our polygon masks provide the granular detail needed for semantic and instance segmentation, allowing your algorithms to distinguish irregular boundaries—from medical imaging anomalies to satellite land-cover mapping. Complexity: Complex shapes, precise boundaries.
Video Object Tracking: Consistent ID labeling across temporal frames. We eliminate "flicker" and ID-swaps. By maintaining temporal consistency across thousands of frames, we empower your models to understand motion, velocity, and behavior in real-time surveillance or autonomous navigation. Complexity: Multi-object, temporal consistency.
Edge Case Annotation: Identification and labeling of rare, high-value data scenarios. Models fail at the "corners." We specialize in identifying and meticulously labeling low-frequency events (occlusions, rare weather conditions, or unusual human poses) to ensure your AI remains robust in unpredictable, real-world environments. Complexity: Occlusions, weather, contextual reasoning.
Text and NER Annotation: Identifying and categorizing key entities within unstructured text. Transform raw text into structured intelligence. We tag entities—people, places, dates, and specialized terminology—with linguistic nuance, providing the high-quality ground truth required for advanced NLP and information extraction. Complexity: Entity extraction, relation tagging.
3D Point Cloud: Annotating spatial data in 3D environments. Master the third dimension. We provide 3D cuboid placement and point-level classification for LiDAR datasets, giving your autonomous systems the spatial awareness required for safe navigation and depth perception. Complexity: LiDAR, 3D bounding boxes
Reasoning Chain (CoT) Annotation: Step-by-step logic labeling for Science and Mathematics.