FAQs
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BodenAI provides end-to-end data annotation and collection services, focusing on cutting-edge fields like Embodied AI, Large Language Models (LLMs), and Autonomous Driving.
- Autonomous Driving: We offer high-precision data support for L2+ to L4 autonomous driving.
- Sensor Fusion & BEV: Includes LiDAR point cloud and image fusion, as well as BEV annotation.
- Pixel-Level Segmentation: Pixel-level road environment, lane line, and obstacle recognition.
- Dynamic Scene Analysis: Trajectory prediction, complex intersection scenarios, and "long-tail" scenarios (Corner Cases) annotation.
- LLMs & RLHF: Helping models transition from “generic” to “expert”.
- RLHF Pipeline: Ranking, scoring, and multi-turn dialogue rewrite tasks.
- SFT (Instruction Fine-Tuning): High-quality prompt-response pair creation.
- Value Alignment: Expert-level review for safety, compliance, and factual accuracy.
- Embodied AI & Robotics: Advancing robot perception and operational capabilities.
- Kinematics & Imitation Learning: Robotic operation path annotation and joint pose reconstruction.
- Navigation & SLAM: Indoor and outdoor multimodal perception data, SLAM map annotation.
- 6D Manipulation: 6D pose annotation for industrial or domestic robotic applications.
- Multimodal Data Processing:
- Foundational Vision & Audio: Image classification, object detection, ASR speech recognition, and sentiment analysis.
- Vertical Solutions: Specialized structured processing for medical imaging, financial documents, and legal papers.
BodenAI BASE platform goes beyond simple data processing; they accelerate algorithm training. Here are four key differentiators:
- Expert-in-the-Loop: Unlike traditional BPOs, we leverage a vertical-specific talent pool. We’ve built a vertical industry expert pool. For tasks like BEV semantic understanding in autonomous driving, 6D pose estimation for robotic grasping, or expert logic evaluation for LLMs, experts with relevant engineering backgrounds perform initial annotations or final reviews, ensuring the data has “cognitive depth.”
- Empowering Embodied AI Scenarios: We are one of the few industry partners that deeply support robotics and embodied AI scenarios.
- Multimodal Alignment: We handle complex alignments of sensor data, including vision, touch, and LiDAR.
- Action-level Annotation: For tasks like robotic arm operation or gait planning, we provide sub-centimeter precision in path and pose annotations to help models understand physical world interaction logic.
- AI-assisted Annotation System: Our self-developed platform boosts traditional annotation efficiency by 40%-60% through an “AI pre-processing + human verification” model. Using large models to generate initial masks or point cloud segmentation suggestions, annotators only need to refine, greatly reducing human error.
- Superior Delivery Standards: We maintain stringent quality control for our data.
- Triple-Tier QA: Machine pre-screening, human quality checks, and expert spot checks.
- Operational Transparency: Clients can monitor real-time annotation progress, accuracy curves, and sample distribution.
- Turnkey Integration: The delivered data is well-structured, with complete documentation, ready for direct use in model training without the need for rework.
We adhere to a "Security-First" engineering philosophy, providing comprehensive protection from infrastructure to business operations:
- Isolation & Encryption: We enforce strict data isolation at the infrastructure level to prevent cross-contamination. All data is protected with enterprise-grade encryption both in transit and at rest.
- Granular Access Control: Through a fine-grained permission management system, data access is strictly restricted. Annotators can only access the tasks assigned to them within a controlled environment and cannot bulk export or download raw data.
- Auditability & Compliance: The platform provides full-chain audit logs, ensuring every data view, modification, and export is traceable. Furthermore, we integrate privacy protection mechanism into our processing pipelines, such as sensitive information masking.
BASE is a multimodal annotation platform designed specifically for large-scale AI training. It supports annotation across all data modalities, including images, videos, audio, and text. Additionally, it is deeply optimized for complex long-tail scenarios in the autonomous driving field:
- Autonomous Driving & Perception
- LiDAR Point Cloud Annotation: Supports high-frequency point cloud sequence 3D box annotation, semantic segmentation, and continuous frame tracking.
- 2D/3D Sensor Fusion: Achieves pixel-level alignment between images and point clouds, suitable for target detection and environmental modeling in autonomous driving scenarios.
- BEV (Bird's-Eye View) Annotation: Multi-camera fusion for lane lines, road structures, and obstacle mapping.
- Embodied AI & Robotics
- 6D Pose Estimation: Annotates object position and orientation in 3D space to aid precise robotic grasping.
- Action Trajectories: Provides time-synchronized annotations of robotic arm or humanoid robot motion paths and key points.
- Visual Navigation (SLAM): Processes semantic feature extraction for indoor and outdoor scenes, supporting robot localization and map training.
- Generative AI & LLMs
- RLHF Preference Ranking: Provides intuitive comparison interfaces for model response quality ranking and safety evaluation.
- Long Text Structuring: Performs entity recognition (NER), sentiment analysis, and logical relationship extraction for complex documents.
- Multi-turn Dialogue: Advanced prompt engineering and response optimization.
- Standard Multimedia
- Computer Vision: Standard image classification, polygon segmentation, and key point annotation.
- Speech & Audio: ASR speech transcription, speaker identification, and multilingual audio segmentation.
- Video Intelligence: Object tracking and attribute recognition for video streams.
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Every Wednesday, the BASE platform evolves to become even more powerful.We follow an ultra-responsive product philosophy and release weekly. From requirement validation to feature deployment, our agile process ensures rapid delivery. Whether it's fixing a minor user interaction or rolling out a major algorithm model, we strive to bring you surprises every “Wednesday update.” In the AI data field, we know that speed is your competitive edge.