- Support data annotation for multi-sensor fusion under BEV.
- Omni-directional target object attributes (ID, dimension, position, classification, velocity, acceleration, occlusion relationship, visibility, trajectory, lane belonging to, etc.)
- Forward/backward tracking is used to achieve improved detection accuracy of the current frame using historical and future information.
- Deep learning models supporting multi-tasking (Segmentation, Object Detection, etc.)
- Reduces manual labeling costs by 90% or more.
- Simultaneous three-view annotation
- 3D and 2D fusion annotation
- Smooth, fine-tuned annotation
- Multiple segmentation modes (hand-painted, bounding box, polygon, cuboid, focus, filter, etc.)
- Fusion operations, including region merging and separation
- Bounding box
- Vehicle attributes
- Semantic segmentation
- Instance segmentation
- Relationship annotation
- Bounding box
- Key points
- Behavior classification
- Audio transcription
Rich data accumulation in typical AI industry and application scenarios, combined with solid understanding of AI data requirement.
Our AI data platform can flexibly support public cloud and private cloud deployment and operation.
Complying with ISO/IEC 27001 and GDPR, we have successful experiences with customers on security data service.
Support fast & low-cost AI PoC, with efficient iterations among scenario analysis, algorithm optimization and dataset customization.
Completed data toolset and templates, supporting fast customization according to customers’ personalized requirements.
Network coverage more than 40 countries, providing data collection and annotation service for multilingual language, landmark, and so on.
Any further information, please contact us.