Name | DL | Torrents | Total Size | Deep Learning [edit] | 50 | 963.86GB | 557 | 0 | Computer Vision [edit] | 79 | 1.41TB | 703 | 0 |
lfw.tgz | 180.57MB |
Type: Dataset
Tags: massachusetts, Dataset, umass, lfw, faces, Amherst
Bibtex:
Tags: massachusetts, Dataset, umass, lfw, faces, Amherst
Bibtex:
@article{, title= {Labeled Faces in the Wild}, journal= {}, author= {Gary B. Huang and Manu Ramesh and Tamara Berg and Erik Learned-Miller}, year= {2007}, url= {http://vis-www.cs.umass.edu/lfw/}, abstract= {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 Citation: Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments Gary B. Huang and Manu Ramesh and Tamara Berg and Erik Learned-Miller University of Massachusetts, Amherst - 2007 }, keywords= {Dataset, umass, lfw, faces, Amherst, massachusetts}, terms= {} }