---
---
The dataset contains images of people collected from the web by typing common given names into Google Image Search. 
The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. 
This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. 
The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. 
Profile faces or very low resolution faces are not labeled.

The ground truth contains the following information:
image-name Leye-x Leye-y Reye-x Reye-y nose-x nose-y mouth-x mouth-y

Citation:
Fink, M., & Perona, P. (2022). Caltech 10k Web Faces (1.0) [Data set]. CaltechDATA. https://doi.org/10.22002/D1.20132

region:us
{}
TAGS
#region-us 

---
---
The dataset contains images of people collected from the web by typing common given names into Google Image Search. 
The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. 
This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. 
The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. 
Profile faces or very low resolution faces are not labeled.

The ground truth contains the following information:
image-name Leye-x Leye-y Reye-x Reye-y nose-x nose-y mouth-x mouth-y

Citation:
Fink, M., & Perona, P. (2022). Caltech 10k Web Faces (1.0) [Data set]. CaltechDATA. URL

TAGS
#region-us 

passage: TAGS
#region-us 
