| ## Description | |
| This dataset is just a sample of 1,056 People Living_face & Anti-Spoofing Data(paid dataset). 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. | |
| For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/computervision/971?source=Huggingface | |
| # Specifications | |
| ## Data size | |
| 1,056 people, 235 videos and 63 images for each person | |
| ## Population distribution | |
| race distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 people aged from 46 to 60, 33 people over 60 years oldrace distribution: 641 Asians, 217 Caucasians, 198 black people; gender distribution: male 542, female 514; age distribution: 56 people under 18 years old, 831 people aged from 18 to 45, 136 peopl… | |
| ## Collection environment | |
| 776 people were collected in indoor scenes, 280 people were collected in outdoor scenes | |
| ## Collection diversity | |
| various postures, expressions, light condition, scenes, time periods and distances | |
| ## Collection device | |
| iPhone, android phone, iPad | |
| ## Collection time | |
| 979 people in daytime, 77 people at night | |
| ## 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% | |
| # Licensing Information | |
| Commercial License | |