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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-to-image |
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- image-feature-extraction |
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- image-classification |
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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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- biology |
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dataset_info: |
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features: |
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- name: portrait_1 |
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dtype: image |
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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: photo_5 |
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dtype: image |
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- name: photo_6 |
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dtype: image |
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- name: photo_7 |
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dtype: image |
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- name: photo_8 |
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dtype: image |
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- name: photo_9 |
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dtype: image |
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- name: photo_10 |
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dtype: image |
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- name: photo_11 |
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dtype: image |
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- name: photo_12 |
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dtype: image |
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- name: photo_13 |
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dtype: image |
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- name: photo_14 |
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dtype: image |
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- name: photo_15 |
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dtype: image |
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- name: photo_16 |
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dtype: image |
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- name: photo_17 |
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dtype: image |
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- name: photo_18 |
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dtype: image |
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- name: photo_19 |
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dtype: image |
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- name: photo_20 |
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dtype: image |
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- name: photo_21 |
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dtype: image |
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- name: photo_22 |
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dtype: image |
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- name: photo_23 |
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dtype: image |
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- name: photo_24 |
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dtype: image |
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- name: photo_25 |
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dtype: image |
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- name: photo_26 |
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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: gender |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 927211725 |
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num_examples: 14 |
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download_size: 923699881 |
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dataset_size: 927211725 |
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--- |
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# The Portrait and 26 Photos (`272` people), faces dataset |
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Each set includes 27 photos of people. Each person provided two types of photos: one photo in profile (portrait_1), and 26 photos from their life (photo_1, photo_2, ..., photo_26). |
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# 💴 For Commercial Usage: Full version of the dataset includes 7,300+ photos of people, leave a request on **[TrainingData](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos)** to buy the dataset |
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### Metadata for the full dataset: |
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- **assignment_id** - unique identifier of the media file |
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- **worker_id** - unique identifier of the person |
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- **age** - age of the person |
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- **true_gender** - gender of the person |
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- **country** - country of the person |
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- **ethnicity** - ethnicity of the person |
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- **photo_1_extension, photo_2_extension, …, photo_26_extension, portrait_1_extension** - photo extensions in the dataset |
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- **photo_1_resolution, photo_2_resolution, …, photo_26_resolution, portrait_1_resolution** - photo resolution in the dataset |
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos)** to discuss your requirements, learn about the price and buy the dataset |
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## The Portrait |
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The portrait photo is a photo that shows a person in profile. Mandatory conditions for the photo are: |
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- The person is pictured alone; |
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- Shoulder-length photo; |
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- No sunglasses or medical mask on the face; |
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- The face is calm, with no smiling or gesturing. |
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## 26 Photos |
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The rest of the photos are completely different, with one exception being that they show a person from The Portrait. There may be different people in it, taken at different times of life and in different locations. The person may be laughing, wearing a mask, and surrounded by friends. |
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## [TrainingData](https://trainingdata.pro/datasets/portrait-26-photos?utm_source=huggingface&utm_medium=cpc&utm_campaign=portrait_and_26_photos) 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: biometric system, biometric system attacks, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, supervised learning dataset, person re-identification, person re-identification dataset, person re-Identification by photo, person re-ID dataset* |