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bob.db.ijba 2.0.3

IJB-A Database Access API for Bob

Package Documentation

IJB-A Database Interface for Bob

This package is part of the signal-processing and machine learning toolbox Bob. This package contains an interface for the evaluation protocols of the IARPA Janus Benchmark A (IJB-A) database and 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 is not unique. On the other hand, the is used as a unique key to query the SQL database.


Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.db.ijba


For questions or reporting issues to this software package, contact our development mailing list.

File Type Py Version Uploaded on Size (md5) Source 2017-09-22 21MB