Saravanan666/pypi-org huggingface dataset:
Package: bob.db.frgc
Face Recognition Grand Challenge (FRGC) ver2.0 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBoband it contains an interface for the evaluation protocol ofThe Face Recognition Grand Challenge (FRGC) Databasein the version ver2.0.
It worth noting that this package does not contain the original FRGC data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.frgcContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.fv3d
3D Fingervein Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocols of the3D
Fingervein Database. Notice this package does not contain the raw data files
from this dataset, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.fv3dContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.gbu
The Good, The Bad, and The Ugly Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of theThe Good, The Bad, and The Ugly Databasedatabase.
Note that the default protocolsGood,Bad, andUglyas defined in the URL above will be respected.
This package does not contain the original GBU data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.gbuContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.hci-tagging
Mahnob HCI-Tagging Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocols of theMahnob
HCI-Tagging Dataset. Notice this package does not contain the raw data files
from this dataset, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.hci_taggingContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.hrf
HRF Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theHRF Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.hrfContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.ijba
IJB-A Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.  This package contains an interface for the evaluation protocols of theIARPA Janus Benchmark A (IJB-A) databaseand does not contain the original
image data for the database.  The original data should be obtained using the
link above.The IJB-A database is a mixture of frontal and non-frontal images and videos
(provided as single frames) from 500 different identities.  In many of the
images and video frames, there are several people visible, but only the ones
that are annotated with a bounding box should be taken into consideration.  For
both model enrollment as well as for probing, images and video frames of one
person are combined into so-called Templates.The database is divided in 10 splits each defining training, enrollment and
probe data.This package implements the database interface including all its
particularities:First, it implements the FileSet protocol, since for some probes, several
files (a mixture of images and video frames) are defined. In the
Database.object_sets() function, FileSet objects are only returned for probe
purposes.Second, some images contain several identities. Therefore, every physical
image file can be stored in several File objects. Also, the File.make_path()
function can create two different styles of file names: the original file
name (to read original images), or a unique filename (to define a unique name
for each extracted face).Third, the Templates with the same template_id might differ between the
protocols, so that the Template.template_id isnotunique. On the other
hand, the Template.id is used as a unique key to query the SQL database.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.ijbaContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.ijbc
IJB-C Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.  This package contains an interface for the evaluation protocols of theIARPA Janus Benchmark C (IJB-C) databaseand does not contain the original
image data for the database.  The original data should be obtained using the
link above.The IJB-C database is a mixture of frontal and non-frontal images and videos
(provided as single frames) from 1845 different identities.  In many of the
images and video frames, there are several people visible, but only the ones
that are annotated with a bounding box should be taken into consideration. For
both model enrollment as well as for probing, images and video frames of one
person are combined into so-called Templates. For some of the protocols, probe
templates are also generated from raw video data.This package implements the database interface including all its
particularities:First, it implements the FileSet protocol, since for some probes, several
files (a mixture of images and/or video frames) are defined. In the
Database.object_sets() function, FileSet objects are only returned for probe
purposes.Second, some images contain several identities. Therefore, every physical
image file can be stored in several File objects. Also, the File.make_path()
function can create two different styles of file names: the original file
name (to read original images), or a unique filename (to define a unique name
for each extracted face).InstallationFollow ourinstallationinstructions. Then, using the Python interpreter
provided by the distribution and buildout this package:$ buildoutContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.iostar
IOSTAR Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theIOSTAR Dataset. This package does
not contain the original data files, which need to be obtained through the link above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.iostarContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.iris
Iris Flower Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for theIris flower data setinterface.
It can be used to demonstrate and test classification experiments.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.irisContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.kboc16
KBOC16 DatabaseThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for theKBOC16 Database.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.kboc16ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.ldhf
Long Distance Heterogeneous Face Database (LDHF-DB)This package contains the access API and descriptions for theLong Distance Heterogeneous Face Database (LDHF-DB) <http://biolab.korea.ac.kr/database/>.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.Long Distance Heterogeneous Face Database (LDHF-DB) is for research on VIS-NIR face recognition.
It includes 100 identities faces captured in both VIS and NIR (at nighttime) in different standoffs: 1m, 60m, 100m and 150m.This package implements the cross-disntance and cross-spectral evaluation protocol described in the paper:D. Kang, H. Han, A. K. Jain, and S.-W. Lee, "Nighttime Face Recognition at Large Standoff: Cross-Distance and Cross-Spectral Matching", Pattern Recognition, Vol. 47, No. 12, 2014, pp. 3750-3766.InstallationFollow ourinstallationinstructions. Then, to install this package, run:$ conda install bob.db.ldhfContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.lfw
Labeled Faces in the Wild Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of the Labeled Faces in the Wild Database (LFW) database. This package does not contain the original LFW data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.lfwContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.livdet2013
Livdet 2013 Fingerprint Liveness DatabaseThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for theLivedet 2013
Databasefor fingerprint liveness detection.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.livdet2013ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.maskattack
3DMAD Database Access API for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocols of the 3DMAD
Database. Notice this package does not contain the raw data files from this
dataset.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.maskattackContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.mnist
MNIST Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
The MNIST database is a database of handwritten digits, which consists of a training set of 60,000 examples, and a test set of 10,000 examples. It was made available by Yann Le Cun and Corinna Cortes. The data was originally extracted from a larger set made available by NIST, before being size-normalized and centered in a fixed-size image (28x28 pixels).InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.mnistContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.mobio
MOBIO Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for the evaluation protocol of theMOBIOdatabase. This package does not contain the originalMOBIOdata files, which
need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.mobioContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.msu-mfsd-mod
MSU Mobile Face Spoofing Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides a Bob-interface for the MSU Mobile Face Spoofing Database.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.msu_mfsd_modContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.multipie
Multi-PIE Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob.
This package contains an interface for the evaluation protocol of the Multi-PIE database. This package does not contain the original Multi-PIE data files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.multipieContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.multispectral_spoof
The Multispectral-Spoof face spoofing database is a spoofing attack database which contains real accesses and spoofing attacks to 21 identity, recorded in VIS and NIR spectra.The actual raw data for the database should be downloaded from the originalURL. This package only contains theBobThis package contains the Bob-compliant interface implementation with methods to use the database directly from Python with our certified protocols.References:1. @incollection{msspoof-2015,
      author       = {I. Chingovska, N. Erdogmus, A. Anjos, S. Marcel},
      title        = {Face Recognition Systems under Spoofing Attacks},
      booktitle    = {Face Recognition Across the Imaging Spectrum},
      publisher    = {Springer},
      year         = 2015,
      editor       = {Thirimachos Bourlai},
   }InstallationTo install this package – alone or together with otherPackages of Bob– please read theInstallation Instructions. For Bob to be able to work properly, some dependent packages are required to be installed. Please make sure that you have read theDependenciesfor your operating system.DocumentationTo generate the documentation for this package, after installing the package run:./bin/sphinx-build docs sphinx
Package: bob.db.nist-sre12
Speaker Recognition Protocol on the NIST SRE 2012 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. This package contains an interface for the evaluation protocol of the2012 NIST Speaker Recognition Evaluation. This package does not contain the originalNIST SRE databases, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.nist_sre12You can either download the SQLite DB fileTo download a copy of an already populated SQLite DB./bin/bob_dbmanage.py nist_sre12 downloadTo generate and populate the NIST SRE 2012 database do the following:Change to sre12 file list directory:cd bob/db/nist_sre12/sre12Create file lists and key files for NIST SRE 2012 protocols and conditions./generate-file-lists.pyYou can check that file lists point to actual files by running./check-all-files-exist.pyafter assigning variable ‘prefix’ your SRE12 base pathprefix=’DATABASE_DIRECTORY_PREFIX’Populate SQL database./bin/bob_dbmanage.py nist_sre12 create -vv -RTo double check the files in the SQLite database point to actual files./bin/bob_dbmanage.py nist_sre12 checkfiles -e .sph -d DATABASE_DIRECTORY_PREFIXContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.nivl
Near-Infrared and Visible-Light (NIVL) DatasetThis package contains the access API and descriptions for theNear-Infrared and Visible-Light (NIVL) Dataset <http://www3.nd.edu/~kwb/face_recognition.htm>.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.NIVL is for research on VIS-NIR face recognition.
It includes 574 identities faces captured in both VIS and NIR.Bernhard, John, et al. “Near-IR to Visible Light Face Matching: Effectiveness of Pre-Processing Options for Commercial Matchers.”InstallationFollow ourinstallationinstructions. Then, to install this package, run:$ conda install bob.db.nivlContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.oulunpu
OULU-NPU Database Access in BobThis package is part of the signal-processing and machine learning toolboxBob. This package provides an interface to theOULU-NPUdatabase.
The original data files need to be downloaded separately.If you use this database, please cite the following publication:@INPROCEEDINGS{OULU_NPU_2017,
         author = {Boulkenafet, Z. and Komulainen, J. and Li, Lei. and Feng, X. and Hadid, A.},
       keywords = {biometrics, face recognition, anti-spoofing, presentation attack, generalization, colour texture},
          month = May,
          title = {{OULU-NPU}: A mobile face presentation attack database with real-world variations},
        journal = {IEEE International Conference on Automatic Face and Gesture Recognition},
           year = {2017},
}InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.oulunpuContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.pericrosseye
Cross-Spectrum Iris/Periocular Recognition DatabaseThis package contains the access API and descriptions for theCross-Spectrum Iris/Periocular Recognition COMPETITION <https://sites.google.com/site/crossspectrumcompetition/guidelines>.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.This database is for research on VIS-NIR periocular recognition.
It includes samples of 20 identities captured in both VIS and NIR.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.pericrosseyeContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.pola-thermal
Polarimetric Thermal DatabaseThis package contains the access API and descriptions for thePolarimetric Thermal Database.
The actual raw data for the database should be requested from US Army.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.The Polarimetrical Thermal Database is for research on VIS-Thermal face recognition.
It includes 60 identities faces captured in both VIS and Thermal.Hu, Shuowen, et al. “A Polarimetric Thermal Database for Face Recognition Research.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2016.InstallationFollow ourinstallationinstructions. Then, to install this package, run:$ conda install bob.db.pola_thermalContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.putvein
PUT Vein Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains an interface for thePUT Vein Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.putveinContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.refuge
REFUGE Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theREFUGE Dataset. This package does
not contain the original data files, which need to be obtained through the link above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.refugeContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.replay
Replay Attack Database Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It contains the access API and descriptions for theReplay AttackDatabase.  The actual raw data for the database should be downloaded from the
original URL.  This package only contains theBobaccessor methods to use the
database directly from Python, with our certified protocols.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.replayContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.replaymobile
Bob package for the Replay-Mobile face spoof attack database.This package is part of the signal-processing and machine learning toolboxBob. This package provides a Bob interface for the Replay-Mobile database for
face presentation attack (antispoofing) experiments for mobile devices.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.replaymobileContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.rimoner3
RIM-ONE Release 3 Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theRIM-ONE r3 Dataset. This package does
not contain the original data files, which need to be obtained through the link above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.rimoner3ContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.scface
SCface Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. <SHORTINTRO>
This package contains an interface for the evaluation protocol of theSCfacedatabase.
This package does not contain the originalSCfacedata files, which need to be obtained through the link above.InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.scfaceContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.siw
SIW Database Access in BobThis package is part of the signal-processing and machine learning toolboxBob. This package provides an interface to theSIWdatabase.
The original data files need to be downloaded separately.If you use this database, please cite the following publication:@inproceedings{learning-deep-models-for-face-anti-spoofing-binary-or-auxiliary-supervision,
  author = { Yaojie Liu* and Amin Jourabloo* and Xiaoming Liu },
  title = { Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision },
  booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
  address = { Salt Lake City, UT },
  month = { June },
  year = { 2018 },
}InstallationComplete Bob’sinstallationinstructions. Then, to install this package,
run:$ conda install bob.db.siwContactFor questions or reporting issues to this software package, contact our
developmentmailing list.
Package: bob.db.stare
STARE Database Interface for BobThis package is part of the signal-processing and machine learning toolboxBob. It provides an interface for theSTARE Dataset. This package does
not contain the original data files, which need to be obtained through the link
above.InstallationComplete bob’sinstallationinstructions. Then, to install this
package, run:$ conda install bob.db.stareContactFor questions or reporting issues to this software package, contact our
developmentmailing list.