This repository contains a data collection of over 11000 pedestrian images taken in the wild. The data was collected from a variety of sources in the hope of creating a benchmark dataset for pedestrian face detection / recognition research. The dataset contains over 55000 detected faces. The dataset is freely available for academic research purposes.
Race | % of total faces |
---|---|
Asian | 13.43% |
Black or African American | 5.22% |
Hispanic or Latino | 5.97% |
White | 75.37% |
Download the Real Face dataset through Google Drive, unzip the downloaded file and you will get the following structure:
.
├── 1.jpg # Image file
├── 1.xml # Annotations file
├── ...
├── 11437.jpg
└── 11437.xml
<annotation>
<object>
<name>face</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>773</xmin>
<ymin>437</ymin>
<xmax>796</xmax>
<ymax>468</ymax>
</bndbox>
</object>
...
</annotation>
For questions and result submission, please contact Leonardo Ramos at [email protected]