
# The Portrait and 26 Photos (272 people)
Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, …, photo_26).

# 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=portrait_and_26_photos) to discuss your requirements, learn about the price and buy the dataset.

# The Portrait
The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:

- The person is pictured alone;
- Shoulder-length photo;
- No sunglasses or medical mask on the face;
- The face is calm, with no smiling or gesturing.

# 26 Photos
The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends.

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

- **WorkerId**: the identifier of the person who provided the media file,
- **Age**: the age of the person,
- **Country**: the country of origin of the person,
- **Gender**: the gender of the person,
- **Type**: a unique identifier of a set of 26 media files,
- **Link**: 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 folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 lines of the .csv file.*

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) 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 language:en license:cc-by-nc-nd-4.0 finance code region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-to-image"], "tags": ["finance", "code"], "dataset_info": {"features": [{"name": "portrait_1", "dtype": "image"}, {"name": "photo_1", "dtype": "image"}, {"name": "photo_2", "dtype": "image"}, {"name": "photo_3", "dtype": "image"}, {"name": "photo_4", "dtype": "image"}, {"name": "photo_5", "dtype": "image"}, {"name": "photo_6", "dtype": "image"}, {"name": "photo_7", "dtype": "image"}, {"name": "photo_8", "dtype": "image"}, {"name": "photo_9", "dtype": "image"}, {"name": "photo_10", "dtype": "image"}, {"name": "photo_11", "dtype": "image"}, {"name": "photo_12", "dtype": "image"}, {"name": "photo_13", "dtype": "image"}, {"name": "photo_14", "dtype": "image"}, {"name": "photo_15", "dtype": "image"}, {"name": "photo_16", "dtype": "image"}, {"name": "photo_17", "dtype": "image"}, {"name": "photo_18", "dtype": "image"}, {"name": "photo_19", "dtype": "image"}, {"name": "photo_20", "dtype": "image"}, {"name": "photo_21", "dtype": "image"}, {"name": "photo_22", "dtype": "image"}, {"name": "photo_23", "dtype": "image"}, {"name": "photo_24", "dtype": "image"}, {"name": "photo_25", "dtype": "image"}, {"name": "photo_26", "dtype": "image"}, {"name": "worker_id", "dtype": "string"}, {"name": "age", "dtype": "int8"}, {"name": "country", "dtype": "string"}, {"name": "gender", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 927211725, "num_examples": 14}], "download_size": 923699881, "dataset_size": 927211725}}
TAGS
#task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #finance #code #region-us 


# The Portrait and 26 Photos (272 people)
Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, …, photo_26).

# 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.

# The Portrait
The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:

- The person is pictured alone;
- Shoulder-length photo;
- No sunglasses or medical mask on the face;
- The face is calm, with no smiling or gesturing.

# 26 Photos
The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends.

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

- WorkerId: the identifier of the person who provided the media file,
- Age: the age of the person,
- Country: the country of origin of the person,
- Gender: the gender of the person,
- Type: a unique identifier of a set of 26 media files,
- Link: 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 folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 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
# The Portrait and 26 Photos (272 people)
Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, …, photo_26). # 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. # The Portrait
The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:

- The person is pictured alone;
- Shoulder-length photo;
- No sunglasses or medical mask on the face;
- The face is calm, with no smiling or gesturing. # 26 Photos
The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends. # File with the extension .csv
includes the following information for each media file:

- WorkerId: the identifier of the person who provided the media file,
- Age: the age of the person,
- Country: the country of origin of the person,
- Gender: the gender of the person,
- Type: a unique identifier of a set of 26 media files,
- Link: 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 folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 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
#task_categories-image-to-image #language-English #license-cc-by-nc-nd-4.0 #finance #code #region-us 
 # The Portrait and 26 Photos (272 people)
Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, …, photo_26). # 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. # The Portrait
The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:

- The person is pictured alone;
- Shoulder-length photo;
- No sunglasses or medical mask on the face;
- The face is calm, with no smiling or gesturing. # 26 Photos
The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends. # File with the extension .csv
includes the following information for each media file:

- WorkerId: the identifier of the person who provided the media file,
- Age: the age of the person,
- Country: the country of origin of the person,
- Gender: the gender of the person,
- Type: a unique identifier of a set of 26 media files,
- Link: 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 folder “0ff4d24098b3110ecfc0a7198e080a4b” and you will make sure that it contains media files taken by a person whose parameters are specified in the first 27 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