# Selfies, ID Images dataset
**4083** sets, which includes *2 photos of a person from his documents and 13 selfies*. **571** sets of Hispanics and **3512** sets of Caucasians.

Photo documents contains only a photo of a person. All personal information from the document is hidden

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

- **SetId**: a unique identifier of a set of 15 media files,
- **UserId**: the identifier of the person who provided the media file,
- **UserRace**: the ethnicity of the person
- **Country**: the country of origin of the person,
- **Age**: the age of the person,
- **Gender**: the gender of the person,
- **Name**: the name of the person
- **FName**: the type of the media file
- **URL**: the URL to access the media file

## Folder "img" with media files
- containg all the photos
- 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 15 lines of the .csv file.*

# 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=selfies_and_id) to discuss your requirements, learn about the price and buy the dataset.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) 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**
task_categories:image-to-image license:cc-by-nc-nd-4.0 code region:us
{"license": "cc-by-nc-nd-4.0", "task_categories": ["image-to-image"], "tags": ["code"], "dataset_info": {"features": [{"name": "id_1", "dtype": "image"}, {"name": "id_2", "dtype": "image"}, {"name": "selfie_1", "dtype": "image"}, {"name": "selfie_2", "dtype": "image"}, {"name": "selfie_3", "dtype": "image"}, {"name": "selfie_4", "dtype": "image"}, {"name": "selfie_5", "dtype": "image"}, {"name": "selfie_6", "dtype": "image"}, {"name": "selfie_7", "dtype": "image"}, {"name": "selfie_8", "dtype": "image"}, {"name": "selfie_9", "dtype": "image"}, {"name": "selfie_10", "dtype": "image"}, {"name": "selfie_11", "dtype": "image"}, {"name": "selfie_12", "dtype": "image"}, {"name": "selfie_13", "dtype": "image"}, {"name": "user_id", "dtype": "string"}, {"name": "set_id", "dtype": "string"}, {"name": "user_race", "dtype": "string"}, {"name": "name", "dtype": "string"}, {"name": "age", "dtype": "int8"}, {"name": "country", "dtype": "string"}, {"name": "gender", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 376371811, "num_examples": 10}], "download_size": 374658409, "dataset_size": 376371811}}
TAGS
#task_categories-image-to-image #license-cc-by-nc-nd-4.0 #code #region-us 

# Selfies, ID Images dataset
4083 sets, which includes *2 photos of a person from his documents and 13 selfies*. 571 sets of Hispanics and 3512 sets of Caucasians.

Photo documents contains only a photo of a person. All personal information from the document is hidden

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

- SetId: a unique identifier of a set of 15 media files,
- UserId: the identifier of the person who provided the media file,
- UserRace: the ethnicity of the person
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Name: the name of the person
- FName: the type of the media file
- URL: the URL to access the media file

## Folder "img" with media files
- containg all the photos
- 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 15 lines of the .csv file.*

# 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.

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

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# Selfies, ID Images dataset
4083 sets, which includes *2 photos of a person from his documents and 13 selfies*. 571 sets of Hispanics and 3512 sets of Caucasians.

Photo documents contains only a photo of a person. All personal information from the document is hidden ## File with the extension .csv
includes the following information for each media file:

- SetId: a unique identifier of a set of 15 media files,
- UserId: the identifier of the person who provided the media file,
- UserRace: the ethnicity of the person
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Name: the name of the person
- FName: the type of the media file
- URL: the URL to access the media file ## Folder "img" with media files
- containg all the photos
- 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 15 lines of the .csv file.* # 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. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-to-image #license-cc-by-nc-nd-4.0 #code #region-us 
 # Selfies, ID Images dataset
4083 sets, which includes *2 photos of a person from his documents and 13 selfies*. 571 sets of Hispanics and 3512 sets of Caucasians.

Photo documents contains only a photo of a person. All personal information from the document is hidden ## File with the extension .csv
includes the following information for each media file:

- SetId: a unique identifier of a set of 15 media files,
- UserId: the identifier of the person who provided the media file,
- UserRace: the ethnicity of the person
- Country: the country of origin of the person,
- Age: the age of the person,
- Gender: the gender of the person,
- Name: the name of the person
- FName: the type of the media file
- URL: the URL to access the media file ## Folder "img" with media files
- containg all the photos
- 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 15 lines of the .csv file.* # 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. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL