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Database Name:Hi-Fi 3D Mask Attack Dataset

Database Name:Hi-Fi 3D Mask Attack Dataset
Producer
Surfingtech
IPR OwnershipSurfingtech
Quantity75 People
EthniticyEast Asian 25

African 25

Caucasian 25

Background26 lighting contiditions
Captured Device8 devices: 2 RGBD devices + 6 smartphones 
Details

75 plaster masks + 75 plastic masks + 75 real person + 75 transparent masks.

All are one-to-one correspondence. African/Asian/Caucasian are 1:1:1.


Introduction:

For each ID, there are 4 (1 reality +3 attack) X 8(8 capturing devices)X 26 (26 types of lighting conditions) = 832 videos. 

For this dataset, there are 75 subjects X 832 videos/subject = 62,400 videos.

Surfing Tech has a variety of anti-fraud datasets:

6000 attack dataset, 3000 ID Screen arrack dataset, 100 ID 3D mask arrack dataset, 

Anti-spoofing dataset, Hi-Fi Challenge dataset, and 3D mask attack dataset.

Some of these datasets were used in the 2019 CVPR challenge, 

while others were used in the 2020 CVPR challenge, and some in the 2021 ICCV challenge

Sample images in this dataset
Plaster masks
Dark light
White light
Back light
Side light
Top light
Strong light
Plastic Masks
Dark light
White light
Back light
Side light
Top light
Strong light
Transparent Masks
Normal light
Dark light
Back light
Side light
Top light
Strong light
Real Person
Normal light
Dark light
Back light
Side light
Top light
Strong light
Free data samples
Data Detail

Our dataset boasts a wide array of multiracial facial images and videos, captured under different lighting conditions

It encompasses multiple expressions, postures, and facial occlusion data.

Furthermore, we ensure the quality of our data by providing high-resolution imagery, even under different lighting conditions.

Diversity is at the core of our dataset. It features individuals from various age groups and maintains a balanced gender ratio. More importantly, our dataset is globally inclusive, capturing the unique facial features of various ethnicities, including Africans, Asians, Caucasians, and Southeast Asians, ensuring a comprehensive representation for your AI applications.



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