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license: cc-by-nc-nd-4.0
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---
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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-classification
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- video-classification
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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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- legal
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---
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# Selfie and Video on Back Camera Dataset
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The dataset consists of selfies and video of real people made on a back camera of the smartphone. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
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### The dataset includes 2 different types of files:
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- **Photo** - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
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- **Video** - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.
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.png?generation=1688132311367523&alt=media)
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# Get the Dataset
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This is just an example of the data. If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**
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# Content
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### Phone models in the datset:
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- iPhone 13 mini
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- iPhone 11
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- iPhone XR
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- iPhone 8 plus
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- Samsung A80
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- Samsung galaxy A51 5G
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- Samsung A32
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- Samsung Galaxy S10 5G
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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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- **photo**: link to access the selfie,
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- **video**: link to access the video,
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- **phone**: the device used to capture selfie and video,
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- **gender**: gender of a person,
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- **age**: age of the person,
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- **country**: country of the person
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## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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-pro**
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