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208 Vietnamese– 2D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light
Anti-spoofing samples
multi-posture face dataset
multi-expression face dataset
biometric face dataset
face payment dataset
multi-scene face dataset
liveness detection dataset
living face dataset
208 Vietnamese– 2D Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Light. The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The race distribution is Vietnamese. The data includes various expressions, postures, anti-spoofing samples, multiple light conditions, multiple scenes. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
208 people, 210 videos and 76 images for each person
Population distribution
race distribution: Vietnamese; gender distribution: 109 males, 99 females; age distribution: 21 people under 18 years old, 111 people aged from 18 to 45, 56 people aged from 46 to 60, 20 people over 60 years old
Collecting environment
indoor 129 people , outdoor 79 people
Data diversity
various expressions, postures, anti-spoofing samples, multiple light conditions, multiple scenes
Device
cellphone, Pad
Collecting time
169 people in daytime, 39 people at night
Data forma
.MOV or .MP4 or .jpg
Labeling content
label the person – ID, nationality, gender, age, collecting scene , collecting time, facial action and light condition
Accuracy rate
based on the accuracy of the actions, the accuracy exceeds 97 %; action naming accuracy exceeds 97 %
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.
Specifications
Sample
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