Name | DL | Torrents | Total Size | Computer Vision [edit] | 79 | 1.41TB | 572 | 0 |
lfw-funneled.tgz | 243.35MB |
Type: Dataset
Tags: Dataset
Bibtex:
Tags: Dataset
Bibtex:
@article{, title= {Labeled Faces in the Wild - aligned with funneling}, journal= {}, author= {Gary B. Huang and Vidit Jain and Erik Learned-Miller}, year= {}, url= {http://vis-www.cs.umass.edu/lfw/}, abstract= {Data from the paper: "Unsupervised Joint Alignment of Complex Images" Gary B. Huang and Vidit Jain and Erik Learned-Miller ICCV 2007 Welcome to Labeled Faces in the Wild, a database of face photographs designed for studying the problem of unconstrained face recognition. The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set. The only constraint on these faces is that they were detected by the Viola-Jones face detector. More details can be found in the technical report below. Information: 13233 images 5749 people 1680 people with two or more images }, keywords= {Dataset}, terms= {} }