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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-segmentation |
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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: 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: 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: sex |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 341007536 |
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num_examples: 10 |
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download_size: 100871449 |
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dataset_size: 341007536 |
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--- |
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# Face Mask Detection |
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Dataset includes 250 000 images, 4 types of mask worn on 28 000 unique faces. All images were collected using the Toloka.ai crowdsourcing service and validated by TrainingData.pro |
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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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- **Country**: the country of origin of the person, |
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- **Age**: the age of the person, |
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- **Sex**: 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 |
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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 4 lines of the .csv file.* |
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In order to get access to more than 250,000 photos 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** |