MaidX Auto-4D
Data Service & Solution
Auto-Annotation Engine supporting BEV Multi-Sensor Fusion Data
  • 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.
vs
1:3000-5000
(3,000-5,000 man-hours for 1 hour of data)
1:200-500
(200-500 man-hours for 1 hour of data)
Time/Labor Costs Reduction > 90%
Annotation Efficiency Improvement 3~4 times
Annotation Efficiency Improvement
Human-in-the-Loop Data Labeling Processes
Human-in-the-Loop Data Labeling Processes
Automated Labeling
Automated Labeling
Manual Annotation: Intelligent Annotation Tools
Manual Annotation: Intelligent Annotation Tools
Use Cases
Scenario-based Data Collection and Annotation Enable Smart Applications
3D Point Cloud Bounding Boxes
  • Simultaneous three-view annotation
  • 3D and 2D fusion annotation
  • Smooth, fine-tuned annotation
Precisely identifying vehicles, pedestrians, and barriers, these annotations aid autonomous driving systems in accurate trajectory forecasting, allowing for optimized path planning, speed regulation, and evasive maneuvers.
3D Point Cloud Bounding Boxes3D Point Cloud Bounding Boxes
3D Point Cloud Segmentation
  • Multiple segmentation modes (hand-painted, bounding box, polygon, cuboid, focus, filter, etc.)
  • Fusion operations, including region merging and separation
These annotations deliver 3D sensing for autonomous driving, facilitating real-time surveillance, precise route planning, speed regulation, and evasive maneuvers, ensuring safer and more efficient navigation and decision-making.
3D Point Cloud Segmentation3D Point Cloud Segmentation
Vehicle Detection
  • Bounding box
  • Polygon
  • Vehicle attributes
Precisely detecting vehicle location, shape, and attributes, these annotations provide essential data like distance, relative position, type, and speed for autonomous driving systems. This aids in real-time road awareness, driving decision optimization, and traffic accident prevention.
Vehicle DetectionVehicle Detection
Lane Line Detection
  • Point
  • Polyline
  • Classification
These annotations improve autonomous driving accuracy and safety by effectively discerning road conditions, facilitating optimal route planning, speed control, obstacle evasion, and informed decision-making for seamless, secure navigation.
Lane Line DetectionLane Line Detection
Drivable Area Annotation
  • Semantic segmentation
  • Instance segmentation
These annotations accurately detect road boundaries and optimize route planning, ensuring precise navigation and safe driving decisions.
Drivable Area AnnotationDrivable Area Annotation
Semantic Segmentation
Semantic SegmentationSemantic Segmentation
Traffic Sign Recognition
  • OCR
  • Polygon
  • Relationship annotation
These annotations discern traffic sign text, shapes, and relationships, enabling autonomous vehicles to adhere to traffic rules and make accurate driving decisions.
Traffic Sign RecognitionTraffic Sign Recognition
Tracking ID
  • Bounding box
  • Classification
These annotations identify and track objects, helping autonomous driving systems avoid obstacles and make correct driving decisions in various road environments.
Tracking IDTracking ID
In-Vehicle Face & Behavior
  • Key points
  • Behavior classification
These annotations monitor driver attention and predict actions, ensuring overall safety and timely intervention.
In-Vehicle Face & BehaviorIn-Vehicle Face & Behavior
In-Vehicle Audio Annotation
  • Audio transcription
Converting speech to text, audio transcription enables voice command recognition and more responsive decision-making.
In-Vehicle Audio AnnotationIn-Vehicle Audio Annotation
Our Partners
Collaboration with Global AI Industries, Universities and Organizations
https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame19@2x.webphttps://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame17@2x.webphttps://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame8@2x.webp
Dataset
To provide you with our best quality datasets.
Latest Resources
One-stop AI Data Solution
Start with Our Comprehensive AI Data Services
Professional

Professional

Rich data accumulation in typical AI industry and application scenarios, combined with solid understanding of AI data requirement.

Platform

Platform

Our AI data platform can flexibly support public cloud and private cloud deployment and operation.

Security

Security

Complying with ISO/IEC 27001 and GDPR, we have successful experiences with customers on security data service.

Agile

Agile

Support fast & low-cost AI PoC, with efficient iterations among scenario analysis, algorithm optimization and dataset customization.

Customized

Customized

Completed data toolset and templates, supporting fast customization according to customers’ personalized requirements.

Global

Global

Network coverage more than 40 countries, providing data collection and annotation service for multilingual language, landmark, and so on.

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