200 Vietnamese 3D Living Face & Anti-Spoofing Dataset

multi-posture face dataset

facial expression 3D dataset

multi-scene 3D face dataset

liveness detection 3D dataset

3D face recognition dataset

3D living face dataset

3D face dataset

multi-expression face dataset

200 Vietnamese 3D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution includes under 18 years old, 18 to 45 years old, 46 to 60 years old, over 60 years old. The device includes iPhone X, iPhone XR, iPhone11, iPhone12, iPhone13. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, liveness detection, and anti-spoofing AI model.

This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.

Specifications

Data size

200 people, 186 images for each person

Race distribution

Asian

Nationality distribution

Vietnam

Gender distribution

99 males, 101 females

Age distribution

20 people under 18 years old, 100 people aged from 18 to 45 years old, 60 people aged from 46 to 60 years old, 20 people over 60 years old

Collecting environment

indoor scenes 140 people, outdoor scenes 60 people

Data diversity

multiple expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes

Device

iphone x、iphone xr、iphone 11、iphone 12、iphone 13.etc

Data format

.jpg, .xml, .json

Data format

label the person – ID, nationality, gender, age, facial action, collecting scene, light condition

Annotation content

label the person – ID, nationality, gender, age, facial action, collecting scene, light condition

Accuracy

based on the accuracy of the actions, the accuracy exceeds 97%; the accuracy of label annotation is not less than 97%

Dataset FAQs

What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

200 Vietnamese 3D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light

multi-posture face dataset facial expression 3D dataset multi-scene 3D face dataset liveness detection 3D dataset 3D face recognition dataset 3D living face dataset 3D face dataset multi-expression face dataset

Current Project Maturity

Dataset FAQs

multi-posture face dataset

facial expression 3D dataset

multi-scene 3D face dataset

liveness detection 3D dataset

3D face recognition dataset

3D living face dataset

3D face dataset

multi-expression face dataset