--- license: cc-by-nc-nd-4.0 task_categories: - image-to-image tags: - code dataset_info: features: - name: id_1 dtype: image - name: id_2 dtype: image - name: selfie_1 dtype: image - name: selfie_2 dtype: image - name: selfie_3 dtype: image - name: selfie_4 dtype: image - name: selfie_5 dtype: image - name: selfie_6 dtype: image - name: selfie_7 dtype: image - name: selfie_8 dtype: image - name: selfie_9 dtype: image - name: selfie_10 dtype: image - name: selfie_11 dtype: image - name: selfie_12 dtype: image - name: selfie_13 dtype: image - name: user_id dtype: string - name: set_id dtype: string - name: user_race dtype: string - name: name dtype: string - name: age dtype: int8 - name: country dtype: string - name: gender dtype: string splits: - name: train num_bytes: 376371811 num_examples: 10 download_size: 374658409 dataset_size: 376371811 --- # Selfies, ID Images dataset **4083** sets, which includes *2 photos of a person from his documents and 13 selfies*. **571** sets of Hispanics and **3512** sets of Caucasians. Photo documents contains only a photo of a person. All personal information from the document is hidden ## File with the extension .csv includes the following information for each media file: - **SetId**: a unique identifier of a set of 15 media files, - **UserId**: the identifier of the person who provided the media file, - **UserRace**: the ethnicity of the person - **Country**: the country of origin of the person, - **Age**: the age of the person, - **Gender**: the gender of the person, - **Name**: the name of the person - **FName**: the type of the media file - **URL**: the URL to access the media file ## Folder "img" with media files - containg all the photos - which correspond to the data in the .csv file **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 15 lines of the .csv file.* # Get the dataset ### This is just an example of the data Leave a request on [**https://trainingdata.pro/datasets**](https://trainingdata.pro/datasets/document-photos-and-selfies?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) to discuss your requirements, learn about the price and buy the dataset. ## [**TrainingData**](https://trainingdata.pro/datasets/document-photos-and-selfies?utm_source=huggingface&utm_medium=cpc&utm_campaign=selfies_and_id) provides high-quality data annotation tailored to your needs More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**