Tagger AI
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Tagger is now a partner of Huawei Cloud, providing data labeling services to enterprises within the Huawei ecosystem network.
This is a major validation to the #DeCorp system as we begin to prepare enterprise-grade workflows for organizations standing at the world's forefront in AI technology.
Planned Research and Development Areas:
1. Perception Data Labeling & Sensor Fusion
- 4D BEV Lane-Line Annotation & Tracking (bird’s-eye view, spatiotemporal consistency)
- Joint 4D & 2D Traffic-Light Labeling (state, timing, and scene context)
- 3D Freespace Segmentation (drivable area & obstacle exclusion)
- 2D–3D Fusion Labeling (camera/LiDAR/Radar alignment and cross-modal QA)
- 2D Bounding Boxes, 2D & 4D Semantic Segmentation, Keypoint Annotation (core CV primitives at scale)
2. Large-Model (LLM/VLM) Evaluation & Ops
- LLM Text Evaluation & Scoring (rubrics, pairwise comparisons, MOS-style ratings)
- Multimodal Video Evaluation for VLMs (temporal reasoning, grounding, event detection)
- LLM Prompt Supervision (PS) (prompt design, safety guardrails, A/B scoring and red-teaming)
This is a major validation to the #DeCorp system as we begin to prepare enterprise-grade workflows for organizations standing at the world's forefront in AI technology.
Planned Research and Development Areas:
1. Perception Data Labeling & Sensor Fusion
- 4D BEV Lane-Line Annotation & Tracking (bird’s-eye view, spatiotemporal consistency)
- Joint 4D & 2D Traffic-Light Labeling (state, timing, and scene context)
- 3D Freespace Segmentation (drivable area & obstacle exclusion)
- 2D–3D Fusion Labeling (camera/LiDAR/Radar alignment and cross-modal QA)
- 2D Bounding Boxes, 2D & 4D Semantic Segmentation, Keypoint Annotation (core CV primitives at scale)
2. Large-Model (LLM/VLM) Evaluation & Ops
- LLM Text Evaluation & Scoring (rubrics, pairwise comparisons, MOS-style ratings)
- Multimodal Video Evaluation for VLMs (temporal reasoning, grounding, event detection)
- LLM Prompt Supervision (PS) (prompt design, safety guardrails, A/B scoring and red-teaming)
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