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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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- image-classification |
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- image-to-image |
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- feature-extraction |
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- image-feature-extraction |
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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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- legal |
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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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# 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/face-masks-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=face_masks) 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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- **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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## [**TrainingData**](https://trainingdata.pro/datasets/face-masks-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=face_masks) 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: facial mask detection, face masks detection, face masks classification, face masks recognition, covid-19, re-identification, public safety, health, automatic face mask detection, biometric system, biometric system attacks, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, object detection dataset, deep learning datasets, computer vision datset, human images dataset, human faces dataset* |
