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Autonomous Vehicles Data Solutions

Nexdata offers advanced and tailored data solutions specifically designed for Advanced Driver Assistance Systems, including data annotation, data collection and off-the-shelf datasets.

Trusted by global AI Companies, Enterprises & Startups, University Research Institutes

  • NVIDIA
  • Microsoft
  • Intel
  • Aptiv
  • Qualcomm
  • SAMSUNG
  • BOSCH
  • General Motors
  • TikTok
  • AWS
  • Google
  • Cerence
  • Deepmotion
  • Meta

Tailored Service for Autonomous Vehicles

Nexdata provides image and speech data collection of in-cabin and autonomous driving scenarios. Our platform supports various data types labeling such as points, lines, bounding boxes, polygon, etc., to assist autonomous vehicles better perception in complex and diverse real-world environments.

In-cabin Voice Assistant

In-cabin Voice Assistant

Support various types of speech data collection and annotation, such wake-up words, command words and noise.

DMS/OMS

DMS/OMS

Support data collection/labeling for in-cabin visual perception, such as drivers' head orientation, facial expression, gaze tracking and gesture detection.

Multi-sensor Fusion

Multi-sensor Fusion

Support data collection requirements of multi-sensor, different time periods and different weather and time sync and spatial calibration.

Point Cloud Object Detection

Point Cloud Object Detection

Supports 3D or 2D-3D fusion object detection for various types of objects.

Point Cloud Object Tracking

Point Cloud Object Tracking

Supports 3D or 2D-3D fusion object tracking for various types of objects.

Point Cloud Semantic Segmentation

Point Cloud Semantic Segmentation

Point cloud semantic segmentation, instance segmentation, panoptic segmentation.

4D Fusion Lane Marking

4D Fusion Lane Marking

Offers dynamic, four-dimensional insights into lane markings, improving accuracy and adaptability for autonomous driving systems.

4D Point Cloud Segmentation

4D Point Cloud Segmentation

Categorizes complex environmental data from various sensors. Enables precise identification and understanding of surroundings.

Data Annotation Tools

Our platform embedded with 30 annotation templates that support automatic object resizing,
grounding, detection, rotation, casting and more.

Nexdata Data Annotation Tool

Automate Object Resizing

For the parts of the picture that cannot be illuminated by lidar, a 3D frame of the default size is quickly generated according to the default size of the target object, ensuring that the rules of brain augmentation are consistent.

Compliance & Security

Nexdata place the utmost emphasis on data security and client trust. We follows Personal Information Protection Act, GDPR, CCPA, PIPC and HIPAA regulations. we have also achieved ISO 27001,ISO 27701 and ISO 9001 qualifications for security and regulatory compliance. Nexdata delivers unparalleled data security, earning the trust of our clients through our adherence to these globally recognized standards.

GDPR
GDPR
CCPA
CCPA
SOC2
SOC2
ISO27701
ISO27701
ISO27001
ISO27001
ISO9001
ISO9001

Deploy reliable AI faster with Nexdata

Nexdata helps you to gain unparalleled control of your annotation workflow through pipeline. Speed up your AI projects 5x today.

Collect Data Label Data Train Your Modle Manage Data Deploy AI

Send exploratory or potentially harmful cases back to be labeled

Case Studies

Multi-sensor Fusion Labeling
  • USE CASE: Multi-sensor Fusion Labeling for Autonomous Vehicle.
  • CHALLENGE:Client needs to label a large amount of road data.
  • SOLUTION:Nexdata annotates the objects in 2D images such as obstacles, lane lines, drivable areas and traffic signs with bounding boxes and segment, and performs single frames, tracking and segmentation, 2D-3D fusion labeling for 3D point cloud data. The accuracy exceeds the customer's requirements, assisting client rapidly improve the self-driving technology and promote mass production.
  • USE CASE:Dangerous Driving Behavior Recognition.
  • CHALLENGE:Client wants to improve the current driver monitor system.
  • SOLUTION:Nexdata help client collect a series of dangerous driving behavior data, such as sleeping, smoking, talking, eating, drinking and etc., while fully guaranteeing the safety of implementation. Camera angles, position, vehicle type and ollection personnel ratio are fully considered in the collection process.
Dangerous Driving Behavior Recognition
Nexdata Data Annotation Free Trial

Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.

Recommended Dataset

10,464 Videos - Calling Behavior Data

10,464 Videos - Calling Behavior Data. The data includes indoor scenes and outdoor scenes. The data covers multiple scenes, multiple shooting angles and multiple resolution. The data can be used for tasks such as calling behavior detection, calling behavior recognition and other tasks.

Calling video data human body detection data human behavior identification data security data abnormal behavior data

122 People - Passenger Behavior Recognition Data

122 People - Passenger Behavior Recognition Data. The data includes multiple age groups, multiple time periods and multiple races (Caucasian, Black, Indian). The passenger behaviors include passenger normal behavior, passenger abnormal behavior(passenger carsick behavior, passenger sleepy behavior, passenger lost items behavior). In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as passenger behavior analysis.

Passenger normal behavior passenger carsick behavior passenger sleepy behavior passenger lost items behavior multiple age groups multiple time periods

10,173 Videos - Play Cellphone Behavior Data

10,173 Videos - Play Cellphone Behavior Data. The data includes indoor scenes and outdoor scenes. The data covers multiple scenes, multiple shooting angles and multiple resolution. The data can be used for tasks such as cellphone playing behavior detection, cellphone playing behavior recognition and other tasks.

Play cellphone video data human body detection data human behavior identification data security data abnormal behavior data

1,000 People Driver Behavior Identification Data

1,000 People-Driver Behavior Identification Data. The data includes multiple ages, multiple time periods and multiple lighting. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

Driver behavior acquisition data driver behavior acquisition driver data acquisition driver behavior data

500 Drivers - 7 Expression Recognition Data

Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.

Driver expression data driver expression data driver expression data driver expression data

500 People - Driver Gesture Recognition Data

500 People - Driver Gesture Recognition Data covers multiple age groups, multiple time periods, and multiple gestures. In terms of acquisition equipment, visible light and infrared binocular cameras are used. Each person collected 18 static gestures and 23 dynamic gestures. Static gestures included fist-clenching gestures and heart-to-heart gestures, and dynamic gestures included index finger clicks and two-finger clicks. This set of driver gesture recognition data can be used for tasks such as driver gesture recognition.

Driver Gesture Collection Data Driver Gesture Collection Driver Collection Data Driver Gesture Data

103,282-Images Driver Behavior Annotation Data

103,282-Images Driver Behavior Annotation Data. The data includes multiple ages, multiple time periods and behaviors (Dangerous behaviors, Fatigue behaviors, Visual movement behaviors). In terms of annotation, 72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks and behavior categories were annotated in the data. This data can be used for tasks such as driver behavior analysis.

dangerous behaviors fatigue behaviors visual movement behaviors 72 facial landmarks face attributes gesture bounding boxes seatbelt bounding boxes pupil landmarks behavior categories multiple ages multiple time periods In-car Cameras RGB and infrared channels.emini pair couple matches two brace pairs deuce double doubles duality twin match combine twosome duo dyad mates duet duplicate gemini the twins similitude yoke binaries counterparts mate analogs counterpart couples doublets look-alike parallel span deuces mirror images brothers clone duplexes nuts rocks alter egos balls clones combo doublet dyads equivalents join pair-offs plumsrn

1,003 People-Driver Behavior Collection Data

1,003 People-Driver Behavior Collection Data. The data includes multiple ages and multiple time periods. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

dangerous behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods In-car Cameras RGB and infrared channels

Why Nexdata

One-stop Data Service

One-stop Data Service

Nexdata.ai provides comprehensive data
annotation and collection services to help
you succeed with your AI projects.

Data QA System

Data QA System

Nexdata delivers high-quality data with
intelligent self-inspection, multiple quality
checks, and ISO9001 certification.

Rich Annotation Tools

Rich Annotation Tools

30 proven annotation tools for full coverage of
voice, image video, 3D point cloud and text
data annotation requirements.

Compliance & Security

Compliance & Security

We follows Personal Information Protection
Act, GDPR, ISO27001/ISO27701 for security
and regulatory compliance.

AI-assisted Pre-recognition

AI-assisted Pre-recognition

With the help of AI-assisted pre-recognition
function, human-computer interaction
semi-automatic annotation is realized.

Know More About Tailored Data Solutions

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