photo
image
| video
string
| phone
string
| gender
string
| age
int8
19
53
| country
string
|
---|---|---|---|---|---|
"000258ba44--64759b035e40143b714b613c.mp4" | "Xaomi Redmi7 " | "MALE" | 38 | "RU" |
|
"000258ba44--647504ac87de8f1e36d0db43.mp4" | "Redmi8" | "MALE" | 19 | "RU" |
|
"000258ba44--647506f420705c17f6feaffa.MOV" | "Iphone 6S" | "nan" | 42 | "RU" |
|
"000258ba44--647557a6e1916756523a45fe.mp4" | "Realmi" | "FEMALE" | 53 | "RU" |
|
"000258ba44--647574b13f275f4749edc0a0.mov" | "iPhone 12 Pro max" | "nan" | 31 | "RU" |
|
"000258ba44--6475051f5e40143b7142c7f7.mp4" | "Mi Poco f3 " | "MALE" | 44 | "KZ" |
|
"000258ba44--6475859de1916756523dc4e2.mp4" | "Samsung A9" | "FEMALE" | 26 | "BY" |
|
"000258ba44--647579135e40143b7148ae97.mp4" | "Huawei Nova Y90" | "FEMALE" | 42 | "BY" |
Anti-Spoofing Real Waist-High Dataset
The dataset consists of waist-high selfies and video of real people. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
The dataset includes 2 different types of files:
- Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible. Person is presented waist-high.
- Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
Content
- The folder "photo" includes selfies of people
- The folder "video" includes videos of people
File with the extension .csv
includes the following information for each media file:
- photo: link to access the selfie,
- video: link to access the video,
- phone: the device used to capture selfie and video,
- gender: gender of a person,
- age: age of the person,
- country: country of the person
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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