|
--- |
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license: cc-by-4.0 |
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dataset_info: |
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- config_name: margin025 |
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features: |
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- name: file |
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dtype: image |
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- name: age |
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dtype: string |
|
- name: gender |
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dtype: string |
|
- name: race |
|
dtype: string |
|
- name: service_test |
|
dtype: bool |
|
splits: |
|
- name: train |
|
num_bytes: 513550350.352 |
|
num_examples: 86744 |
|
- name: val |
|
num_bytes: 64534471.096 |
|
num_examples: 10954 |
|
download_size: 563297165 |
|
dataset_size: 578084821.448 |
|
- config_name: margin125 |
|
features: |
|
- name: file |
|
dtype: image |
|
- name: age |
|
dtype: string |
|
- name: gender |
|
dtype: string |
|
- name: race |
|
dtype: string |
|
- name: service_test |
|
dtype: bool |
|
- name: image_features |
|
sequence: float32 |
|
splits: |
|
- name: train |
|
num_bytes: 2048362216.0 |
|
num_examples: 86744 |
|
- name: val |
|
num_bytes: 259645815.75 |
|
num_examples: 10954 |
|
download_size: 2403949938 |
|
dataset_size: 2308008031.75 |
|
configs: |
|
- config_name: margin025 |
|
data_files: |
|
- split: train |
|
path: margin025/train-* |
|
- split: val |
|
path: margin025/val-* |
|
- config_name: margin125 |
|
data_files: |
|
- split: train |
|
path: margin125/train-* |
|
- split: val |
|
path: margin125/val-* |
|
--- |
|
|
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# Dataset Card for FairFace |
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|
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## Table of Contents |
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- [Dataset Card Creation Guide](#dataset-card-creation-guide) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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|
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## Dataset Description |
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|
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- **Repository:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface) |
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- **Paper:** [FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation](https://openaccess.thecvf.com/content/WACV2021/html/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.html) |
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### Dataset Summary |
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|
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A dataset of human faces annotated with discrete categories for the photographed person's age, sex, and race. Please consider prioritizing [a previously created Hugging Face dataset repository for Fair Face](https://huggingface.co/datasets/HuggingFaceM4/FairFace) as this new dataset repository was only made for downloading issues that may already be resolved. |
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|
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For complete details on the dataset's construction and intended uses, please refer to the dataset's official repository or paper. |
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|
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## Dataset Structure |
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|
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### Data Instances |
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|
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Each instance contains an image and discrete categories for age, gender, and race. |
|
|
|
``` |
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{ |
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'file': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448>, |
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'age': '50-59', |
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'gender': 'Male', |
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'race': 'East Asian', |
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'service_test': True |
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} |
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``` |
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|
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### Data Fields |
|
|
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- `file`: an image of a human face with either padding = 0.25 or padding = 1.25 depending on the dataset config |
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- `age`: a category describing the age of the person in the image limited to *0-2*, *3-9*, *10-19*, *20-29*, *30-39*, *40-49*, *50-59*, *60-69*, and *more than 70* |
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- `gender`: a category describing the sex of the person in the image limited to *Male* and *Female* |
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- `race`: a category describing the race of the person in the image limited to *East Asian*, *Indian*, *Black*, *White*, *Middle Eastern*, *Latino_Hispanic*, and *Southeast Asian* |
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- `service_test`: please refer to this [issue](https://github.com/dchen236/FairFace/issues/20) from the dataset's official repository |
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|
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## Additional Information |
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### Licensing Information |
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According to the official repository, FairFace is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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### Citation Information |
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|
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``` |
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@InProceedings{Karkkainen_2021_WACV, |
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author = {Karkkainen, Kimmo and Joo, Jungseock}, |
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title = {FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation}, |
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booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, |
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month = {January}, |
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year = {2021}, |
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pages = {1548-1558} |
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} |
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``` |