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415 People Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Expression
living face dataset
face anti-spoofing dataset
liveness detection dataset
face recognition AI dataset
multi-scene face dataset
mobile face authentication dataset
remote ID face dataset
face payment dataset
biometric face dataset
multi-expression face dataset
415 People Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Expression. 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 data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. 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
415 people, 235 videos and 63 images for each person
Population distribution
race distribution:217 Caucasians, 198 black people; gender distribution: male 218, female 197; age distribution: 3 people under 18 years old, 406 people aged from 18 to 45, 5 people aged from 46 to 60, 1 people over 60 years old
Collection environment
indoor, daytime
Collection diversity
various postures, expressions, light condition, scenes, time periods and distances
Collection device
iPhone, android phone, iPad
Image Parameter
the video format is .mov or .mp4, the image format is .jpg
Accuracy
the accuracy of actions exceeds 97%, the accuracy of naming the actions and lip language 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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