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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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language: |
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- en |
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tags: |
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- finance |
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- code |
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dataset_info: |
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features: |
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- name: portrait_1 |
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dtype: image |
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- name: photo_1 |
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dtype: image |
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- name: photo_2 |
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dtype: image |
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- name: photo_3 |
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dtype: image |
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- name: photo_4 |
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dtype: image |
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- name: photo_5 |
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dtype: image |
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- name: photo_6 |
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dtype: image |
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- name: photo_7 |
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dtype: image |
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- name: photo_8 |
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dtype: image |
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- name: photo_9 |
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dtype: image |
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- name: photo_10 |
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dtype: image |
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- name: photo_11 |
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dtype: image |
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- name: photo_12 |
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dtype: image |
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- name: photo_13 |
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dtype: image |
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- name: photo_14 |
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dtype: image |
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- name: photo_15 |
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dtype: image |
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- name: photo_16 |
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dtype: image |
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- name: photo_17 |
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dtype: image |
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- name: photo_18 |
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dtype: image |
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- name: photo_19 |
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dtype: image |
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- name: photo_20 |
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dtype: image |
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- name: photo_21 |
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dtype: image |
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- name: photo_22 |
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dtype: image |
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- name: photo_23 |
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dtype: image |
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- name: photo_24 |
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dtype: image |
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- name: photo_25 |
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dtype: image |
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- name: photo_26 |
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dtype: image |
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- name: worker_id |
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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: 927211725 |
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num_examples: 14 |
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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) |
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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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# 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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# File with the extension .csv |
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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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In order to get access to 7344 media files from 272 people or to learn more about our data, please contact our sales team by submitting a request on our website https://trainingdata.pro/data-market?utm_source=huggingface or emaling us at sales@trainingdata.pro |
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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-pro** |
