The Labeled Faces in the Wild Database
Changelog
- Version 4, 30/Jan/2018:
- Port to beat.backend.python v1.5.0
- Version 3, 31/Oct/2017:
- Port to beat.backend.python v1.4.2
- Version 2, 20/Jan/2016:
- Port to Bob v2
- Version 1, 08/Apr/2015:
- Initial release
Description
Labeled Faces in the Wild is 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 this technical report.
There are four different sets of LFW images including the original and three different types of "aligned" images. The platform currently relies on the original images and provides the view1 protocol.
Preview of original images of this database are shown below:
train
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Output name Data format image: system/array_3d_uint8/1 file_id: system/uint64/1 (Basic format containing only a single unsigned integer (64 bits) value) client_id: system/text/1 (Basic format containing a text) templates
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Output name Data format image: system/array_3d_uint8/1 file_id: system/uint64/1 (Basic format containing only a single unsigned integer (64 bits) value) client_id: system/text/1 (Basic format containing a text) template_id: system/uint64/1 (Basic format containing only a single unsigned integer (64 bits) value) probes
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Output name Data format image: system/array_3d_uint8/1 client_id: system/text/1 (Basic format containing a text) file_id: system/uint64/1 (Basic format containing only a single unsigned integer (64 bits) value) probe_id: system/uint64/1 (Basic format containing only a single unsigned integer (64 bits) value) template_ids: system/array_1d_uint64/1 (Basic format containing a one-dimensional array of unsigned integer (64 bits) values)
This database is Public
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