# Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers.
Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos).

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfie_and_video) to discuss your requirements, learn about the price and buy the dataset.

# File with the extension .csv
includes the following information for each media file:

- **SetId**: a unique identifier of a set of 8 media files,
- **WorkerId**: the identifier of the person who provided the media file,
- **Country**: the country of origin of the person,
- **Age**: the age of the person,
- **Gender**: the gender of the person,
- **Type**: the type of media file
- **Link**: the URL to access the media file


# Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file

**How it works**: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 8 lines of the .csv file.*

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfie_and_video) provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
license:cc-by-nc-nd-4.0 region:us
{"license": "cc-by-nc-nd-4.0", "dataset_info": {"features": [{"name": "photo_1", "dtype": "image"}, {"name": "photo_2", "dtype": "image"}, {"name": "video_3", "dtype": "string"}, {"name": "video_4", "dtype": "string"}, {"name": "photo_5", "dtype": "image"}, {"name": "photo_6", "dtype": "image"}, {"name": "video_7", "dtype": "string"}, {"name": "video_8", "dtype": "string"}, {"name": "set_id", "dtype": "string"}, {"name": "worker_id", "dtype": "string"}, {"name": "age", "dtype": "int8"}, {"name": "country", "dtype": "string"}, {"name": "gender", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 49771508, "num_examples": 10}], "download_size": 829589647, "dataset_size": 49771508}}
TAGS
#license-cc-by-nc-nd-4.0 #region-us 

# Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers.
Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos).

# Get the dataset

### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset.

# File with the extension .csv
includes the following information for each media file:

- SetId: a unique identifier of a set of 8 media files,
- WorkerId: the identifier of the person who provided the media file,
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Type: the type of media file
- Link: the URL to access the media file


# Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file

How it works: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 8 lines of the .csv file.*

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers.
Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos). # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset. # File with the extension .csv
includes the following information for each media file:

- SetId: a unique identifier of a set of 8 media files,
- WorkerId: the identifier of the person who provided the media file,
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Type: the type of media file
- Link: the URL to access the media file # Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file

How it works: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 8 lines of the .csv file.* ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#license-cc-by-nc-nd-4.0 #region-us 
 # Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers.
Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos). # Get the dataset ### This is just an example of the data

Leave a request on URL to discuss your requirements, learn about the price and buy the dataset. # File with the extension .csv
includes the following information for each media file:

- SetId: a unique identifier of a set of 8 media files,
- WorkerId: the identifier of the person who provided the media file,
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Type: the type of media file
- Link: the URL to access the media file # Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file

How it works: *go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first 8 lines of the .csv file.* ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL