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--- |
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license: cc-by-nc-nd-4.0 |
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dataset_info: |
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features: |
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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: video_3 |
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dtype: string |
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- name: video_4 |
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dtype: string |
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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: video_7 |
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dtype: string |
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- name: video_8 |
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dtype: string |
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- name: set_id |
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dtype: string |
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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: 49771508 |
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num_examples: 10 |
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download_size: 829589647 |
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dataset_size: 49771508 |
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--- |
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# Selfies and video dataset |
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4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone. In addition, people recorded video from the phone and from the webcam, on which they pronounced a given set of numbers. |
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Includes folders corresponding to people in the dataset. Each folder includes 8 files (4 images and 4 videos). |
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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/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfie_and_video) to discuss your requirements, learn about the price and buy the dataset. |
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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 8 media files, |
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- **WorkerId**: the identifier of the person who provided the media file, |
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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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- **Type**: the type of media file |
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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 and videos |
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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 8 lines of the .csv file.* |
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## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfie_and_video) 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** |
