Labeled Faces in the Wild#
Labeled Faces in the Wild is a public benchmark for face verification, also known as pair matching.
The dataset contains 13,233 images of 5,749 people’s faces collected from the web. Each face has been labeled with the name of the person pictured. 1,680 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.
Details
Dataset name:
lfwDataset source: http://vis-www.cs.umass.edu/lfw
Dataset size: 173.00 MB
Tags:
image, classification, facial-recognitionSupported splits:
test, trainZooDataset class:
LabeledFacesInTheWildDataset
Example usage
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4dataset = foz.load_zoo_dataset("lfw", split="test")
5
6session = fo.launch_app(dataset)
fiftyone zoo datasets load lfw --split test
fiftyone app launch lfw-test
