Names 100 Dataset
Abstract/Contents
- Abstract
- We present the Names100 dataset, which contains 80,000 unconstrained human face images, including 100 popular names and 800 images per name. The dataset can used to study the relation between a person's first name and his/her facial appearance, and train name classifiers which may be used for practical applications such as gender and age recognition.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | September 2013 |
Creators/Contributors
| Author | Chen, Huizhong | |
|---|---|---|
| Author | Gallagher, Andrew | |
| Author | Girod, Bernd |
Subjects
| Subject | Faces |
|---|---|
| Subject | Computer Vision |
| Subject | Image Processing |
| Subject | Pattern Recognition |
| Genre | Dataset |
Bibliographic information
| Related Publication | Huizhong Chen, Andrew Gallagher, and Bernd Girod, "What's in a Name: First Names as Facial Attributes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. http://dx.doi.org/10.1109/CVPR.2013.432 |
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| Related item |
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| Location | https://purl.stanford.edu/tp945cq9122 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Huizhong Chen, Andrew Gallagher, and Bernd Girod, "What's in a Name: First Names as Facial Attributes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2013. Dataset available at: http://purl.stanford.edu/tp945cq9122
Collection
Research Datasets for Image, Video, and Multimedia Systems Group at Stanford
View other items in this collection in SearchWorksContact information
- Contact
- hchen2@stanford.edu
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