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  • NVIDIA
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Tailored Service for AR/VR

Nexdata provides data collection of various types of speech, image and video data, and has extensive experience in data annotation in tasks such as speech recognition, object detection, semantic segmentation and behavior recognition.

Voice Assistant

Voice Assistant

Supports multi-language and multi-device collection of speech data and annotation of text, noise, speaker roles, etc.

Gesture Interaction

Gesture Interaction

Supports static and dynamic gesture data collection and data labeling of keypoints, attributes and types.

Digital Human

Digital Human

Support customization of speakers according to tone, style, and language. Configure exclusive hi-fi synthetic voices for digital human.

Facial Expression Recognition

Facial Expression Recognition

Support multi-race, multi-angle and multi-scene face image data and data annotation of bounding boxes, landmarks, segmentation, etc.

Human Behavior Recognition

Human Behavior Recognition

Support multi-scene and multi-angle behavior image and video data collection and data labeling of behavior and attributes.

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

Automatic Face Beautification
  • USE CASE:Automatic Face Beautification.
  • CHALLENGE:Client hopes to further improve face beautification and Makeup synthesis technology in social products.
  • SOLUTION:Nexdata provides pixel-level segmentation labeling for the data provided by our customer. For the occluded objects, it is necessary to estimate most likely position for annotating and annotate the object according to the trend of contour. The gesture, body, and facial contours are strictly labeled according to shape, with smooth lines.
Virtual/Digital Human Modeling
  • USE CASE:Virtual/Digital Human Modeling.
  • CHALLENGE:Client wants to improve the technology of virtual human modeling.
  • SOLUTION:The virtual human is set as an adult female. The client needs to collect facial expressions, body movements and corresponding audio data in a clean indoor environment. Nexdata completed the data collection project required by customers by using facial capture and motion capture equipment, and high-fidelity recording equipment.
Nexdata Data Annotation Free Trial

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

Recommended Dataset

1,136 Hours - English(the United States) Spontaneous Dialogue Smartphone speech dataset

English(the United States) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering generic domain. Transcribed with text content, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(1,416 Americans), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

American English dialogue voice data natural dialogue voice data natural dialogue data dialogue data set dialogue data dialogue voice conversational AI data AI dialogue voice data

5,172 People - Multi-race Juvenile and Multi-pose Facial Images

5,172 People - Multi-race Juvenile and Multi-pose Facial Images. This data includes black people, Caucasian people and brown people. Each subject was collected 10 images. (The 10 images include 10 photos in different lighting, different face poses and different collection environments). This data can be used for face recognition related tasks.

Different face poses and races Different ages Different lighting Different collection environments

25,581 Images - 88 Facial Landmarks Annotation Data

25,581 Images - 88 Facial Landmarks Annotation Data. The dataset includes Asian, black race, Caucasian and brown race. In order to be more challenging, the data includes multiple scenes, multiple poses, different ages, light conditions and complicated expressions. For annotation, 88 facial landmarks and visible and invisible attributes of landmarks were annotated. This data can be used for tasks such as face detection and face recognition.

88 facial landmarks multiple scenes different ages different races different light conditions multiple face postures and expressions face detection face recognition face segmentation

4,458 People - 3D Facial Expressions Recognition Data

4,458 People - 3D Facial Expressions Recognition Data. The collection scenes include indoor scenes and outdoor scenes. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes different expressions, different ages, different races, different collecting scenes. This data can be used for tasks such as 3D facial expression recognition.

3D facial expressions recognition different expressions different ages different races different collecting scenes

558,870 Videos - 50 Types of Dynamic Gesture Recognition Data

558,870 Videos - 50 Types of Dynamic Gesture Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes (natural scenery, street view, square, etc.). The data covers males and females. The age distribution ranges from teenager to senior. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. This data can be used for dynamic gesture recognition of smart homes, audio equipments and on-board systems.

multiple scenes 50 types of dynamic gestures 5 photographic angles multiple light conditions different photographic distances different photographic devices(cellphone iPad laptop) smart homes audio equipments on-board systems

180,717 Images - Sign Language Gestures Recognition Data

180,717 Images - Sign Language Gestures Recognition Data. The data diversity includes multiple scenes, 41 static gestures, 95 dynamic gestures, multiple photographic angles, and multiple light conditions. In terms of data annotation, 21 landmarks, gesture types, and gesture attributes were annotated. This dataset can be used for tasks such as gesture recognition and sign language translation.

Sign language gestures multiple scenes static gestures dynamic gestures multiple photographic angles multiple light conditions 21 landmarks gesture type gesture attributes

2,341 People Gesture Recognition Data in Online Conference Scenes

2,341 People Gesture Recognition Data in Meeting Scenes includes Asians, Caucasians, blacks, and browns, and the age is mainly young and middle-aged. It collects a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries, bedrooms, etc. Each person collected 18 pictures and 2 videos. The pictures included 18 gestures such as clenching a fist with one hand and heart-to-heart with one hand, and the video included gestures such as clapping.

Human behavior data Gesture recognition data set Conference scene Human behavior data collection

314,178 Images 18_Gestures Recognition Data

314,178 Images 18_Gestures Recognition Data. This data diversity includes multiple scenes, 18 gestures, 5 shooting angels, multiple ages and multiple light conditions. For annotation, gesture 21 landmarks (each landmark includes the attribute of visible and visible), gesture type and gesture attributes were annotated. This data can be used for tasks such as gesture recognition and human-machine interaction.

multiple scenes 18 gestures 5 shooting angels multiple ages multiple light conditions gesture recognition 21 gestural landmarks annotation

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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