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download_size: 923699881
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dataset_size: 927211725
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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).
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#
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###
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Leave a request on [
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The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:
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- The person is pictured alone;
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- Shoulder-length photo;
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- No sunglasses or medical mask on the face;
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- The face is calm, with no smiling or gesturing.
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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.
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includes the following information for each media file:
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- **WorkerId**: the identifier of the person who provided the media file,
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- **Age**: the age of the person,
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- **Country**: the country of origin of the person,
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- **Gender**: the gender of the person,
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- **Type**: a unique identifier of a set of 26 media files,
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- **Link**: the URL to access the media file
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# Folder "img" with media files
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- containg all the photos
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- which correspond to the data in the .csv file
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**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.*
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## [**TrainingData**](https://trainingdata.pro/data-market/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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download_size: 923699881
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dataset_size: 927211725
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---
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# The Portrait and 26 Photos (`272` people), faces dataset
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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).
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# 💴 For Commercial Usage: Full version of the dataset includes 7,300+ photos of people, leave a request on **[TrainingData](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos)** to buy the dataset
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### Metadata for the full dataset:
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- **assignment_id** - unique identifier of the media file
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- **worker_id** - unique identifier of the person
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- **age** - age of the person
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- **true_gender** - gender of the person
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- **country** - country of the person
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- **ethnicity** - ethnicity of the person
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- **photo_1_extension, photo_2_extension, …, photo_26_extension, portrait_1_extension** - photo extensions in the dataset
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- **photo_1_resolution, photo_2_resolution, …, photo_26_resolution, portrait_1_resolution** - photo resolution in the dataset
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) to discuss your requirements, learn about the price and buy the dataset**
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## The Portrait
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The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are:
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- The person is pictured alone;
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- Shoulder-length photo;
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- No sunglasses or medical mask on the face;
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- The face is calm, with no smiling or gesturing.
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## 26 Photos
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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.
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## [**TrainingData**](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) provides high-quality data annotation tailored to your needs
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
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*keywords: biometric system, biometric system attacks, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, supervised learning dataset, person re-identification, person re-identification dataset, person re-Identification by photo, person re-ID dataset*
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