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.
![](https://maadaa.ai/V1/api/media/upload/511f8691-da0f-4250-975e-90442caa929d_purely-manual-data-production....png)
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
![](https://maadaa.ai/V1/api/media/upload/f4706054-0970-4296-a902-02305ca3f8fc_annotation-effficiency.png)
Human-in-the-Loop Data Labeling Processes
![](https://maadaa.ai/V1/api/media/upload/d2f09599-582a-4d42-9da2-f75a4ee9ae01_Human-in-the-Loop流程.png)
![](https://maadaa.ai/V1/api/media/upload/1f16dc5d-8652-47ef-91ba-d84fd44460e3_automated-labeling.webp)
Automated Labeling
![](https://maadaa.ai/V1/api/media/upload/9f82dd0c-f141-42bc-b426-2aa3a711d2cd_manual-annotation.webp)
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 Boxes](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/3D Point Cloud Bounding Boxes@2x.webp)
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 Segmentation](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/3D Point Cloud Segmentation@2x.webp)
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 Detection](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Vehicle Detection1@2x.webp)
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 Detection](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Lane Line Detection1@2x.webp)
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 Annotation](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Drivable Area Annotation1@2x.webp)
Semantic Segmentation
![Semantic Segmentation](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Semantic Segmentation1@2x.webp)
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 Recognition](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Traffic Sign Recognition1@2x.webp)
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 ID](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/id 00_00_00-00_00_30.gif)
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 & Behavior](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/09 1@2x.webp)
In-Vehicle Audio Annotation
- Audio transcription
Converting speech to text, audio transcription enables voice command recognition and more responsive decision-making.
![In-Vehicle Audio Annotation](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/In-Vehicle Audio Annotation@2x.webp)
Our Partners
Collaboration with Global AI Industries, Universities and Organizations
![https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame19@2x.webp](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame19@2x.webp)
![https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame17@2x.webp](https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame17@2x.webp)
![https://maadaa.ai/madaV1/static/upload/static/Autonomous_Driving/Frame8@2x.webp](https://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](https://maadaa.ai/madaV1/static/upload/static/Frame 40@2x.webp)
Professional
Rich data accumulation in typical AI industry and application scenarios, combined with solid understanding of AI data requirement.
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Platform
Our AI data platform can flexibly support public cloud and private cloud deployment and operation.
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Security
Complying with ISO/IEC 27001 and GDPR, we have successful experiences with customers on security data service.
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Agile
Support fast & low-cost AI PoC, with efficient iterations among scenario analysis, algorithm optimization and dataset customization.
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Customized
Completed data toolset and templates, supporting fast customization according to customers’ personalized requirements.
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Global
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.