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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-to-image |
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tags: |
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- code |
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dataset_info: |
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features: |
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- name: id_1 |
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dtype: image |
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- name: id_2 |
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dtype: image |
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- name: selfie_1 |
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dtype: image |
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- name: selfie_2 |
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dtype: image |
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- name: selfie_3 |
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dtype: image |
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- name: selfie_4 |
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dtype: image |
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- name: selfie_5 |
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dtype: image |
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- name: selfie_6 |
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dtype: image |
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- name: selfie_7 |
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dtype: image |
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- name: selfie_8 |
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dtype: image |
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- name: selfie_9 |
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dtype: image |
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- name: selfie_10 |
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dtype: image |
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- name: selfie_11 |
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dtype: image |
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- name: selfie_12 |
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dtype: image |
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- name: selfie_13 |
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dtype: image |
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- name: user_id |
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dtype: string |
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- name: set_id |
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dtype: string |
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- name: user_race |
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dtype: string |
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- name: name |
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dtype: string |
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- name: age |
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dtype: int8 |
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- name: country |
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dtype: string |
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- name: gender |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 376371811 |
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num_examples: 10 |
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download_size: 374658409 |
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dataset_size: 376371811 |
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--- |
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# Selfies, ID Images dataset |
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**4083** sets, which includes *2 photos of a person from his documents and 13 selfies*. **571** sets of Hispanics and **3512** sets of Caucasians. |
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Photo documents contains only a photo of a person. All personal information from the document is hidden |
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## File with the extension .csv |
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includes the following information for each media file: |
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- **SetId**: a unique identifier of a set of 15 media files, |
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- **UserId**: the identifier of the person who provided the media file, |
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- **UserRace**: the ethnicity of the person |
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- **Country**: the country of origin of the person, |
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- **Age**: the age of the person, |
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- **Gender**: the gender of the person, |
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- **Name**: the name of the person |
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- **FName**: the type of the media file |
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- **URL**: 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 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.* |
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# Get the dataset |
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### This is just an example of the data |
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Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets/document-photos-and-selfies?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) to discuss your requirements, learn about the price and buy the dataset. |
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## [**TrainingData**](https://trainingdata.pro/datasets/document-photos-and-selfies?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) 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** |