https://github.com/amazon-science/widerface-demographics
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: acm.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.5%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: amazon-science
- License: other
- Language: Python
- Default Branch: main
- Size: 3.47 MB
Statistics
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Amazon Alexa WiderFace Demographics
Fairness has become an important agenda in computer vision and artificial intelligence. Demographically diverse datasets can help mitigate bias. We collected perceived demographic attributes on a popular face detection benchmark dataset, WIDER FACE. In this repository, we release the demographic annotations for a subset of Widerface data which can be used by works to retrospect on their model fairness, and to mitigate biases in face detection.
More information about our work can be found in https://dl.acm.org/doi/abs/10.1145/3514094.3534153
Dataset statistics
We annotated a subset of WiderFace data and added demographic attributes such as perceived age, perceived gender and perceived skintone
From the training split we annotated around 9k faces, and trained a demographic classifier using those images and generated psuedolabels for the remaining faces, totalling to aroung 150k faces, from 12k images
For Validation, We annotated 12k faces from 3200 images.
Since we do not have test bounding boxes, we only annotate training and validation data
The annotation file
The annotation file contains Image Filename | perceivedgender | perceivedage | perceived_skin
You can download the images and bbox annotations from the Widerface website - http://shuoyang1213.me/WIDERFACE/
Since we only annotate a subset of users, once downloaded, You can use the script provided to merge the demographic annotations with the widerface bounding box annotations
Citation
@Inproceedings{Yang2022, author = {Yu Yang and Aayush Gupta and Jianwei Feng and Prateek Singhal and Vivek Yadav and Yue Wu and Pradeep Natarajan and Varsha Hedau and Jungseock Joo}, title = {Enhancing fairness in face detection in computer vision systems by demographic bias mitigation}, year = {2022}, url = {https://www.amazon.science/publications/enhancing-fairness-in-face-detection-in-computer-vision-systems-by-demographic-bias-mitigation}, booktitle = {AIES 2022}, }
License Summary
The annotation data and code are made available under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. See the LICENSE file.
Owner
- Name: Amazon Science
- Login: amazon-science
- Kind: organization
- Website: https://amazon.science
- Twitter: AmazonScience
- Repositories: 80
- Profile: https://github.com/amazon-science
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Nitesh Sekhar | s****s@a****m | 2 |
| Amazon GitHub Automation | 5****o | 1 |
| Nitesh Sekhar | n****r@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 1 hour
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- spongezhang (1)