TrainingDataPro
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license: cc-by-nc-nd-4.0
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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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- image-to-image
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language:
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- en
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tags:
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- medical
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- code
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# Botox Injections (Before & After)
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The dataset consists of photos featuring the same individuals captured before and after botox injections procedure. The dataset contains a diverse range of individuals with various *ages, ethnicities and genders*.
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The dataset is useful for evaluation of the effectiveness of botox injections for different skin and face types, face recognition and reidentification tasks. It can be utilised for biometric tasks , in beauty sphere, for medical purposes and e-commerce.
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![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff4e4aa816bc874020b913bbc3cabfe16%2F96.png?generation=1693400980674716&alt=media)
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# Get the Dataset
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### This is just an example of the data
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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)** to discuss your requirements, learn about the price and buy the dataset
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# Content
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- **before**: includes images of people before botox injections
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- **with_makeup**: includes images of people after botox injections. People are the same as in the previous folder, photos are identified by the same name
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- **.csv file**: contains information about the dataset
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### File with the extension .csv
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includes the following information for each set of media files:
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- **person**: id of the person,
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- **before**: link to the photo before the injection,
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- **after**: link to the photo after the injection
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# Images of people with botox injections might be collected in accordance with your requirements.
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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-datamarket/TrainingData_All_datasets**
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