CVRL Data Sets

 
 

Biometrics Data Sets


We have been collecting data sets and conducting baseline and advanced personal identification studies using biometric measurements.  We are committed to releasing all data collected to eligible research groups, with appropriate controls to forbid on-line distribution outside the research community. Data is distributed using rsync.


As of this writing, the following modal collections are available.

  1. •ND-CrossSensor-Iris-2012.  The ND-CrossSensor-Iris-2012 dataset consists of 264,945 iris images collected in 27 sessions of data with 676 unique subjects. An average session contains 160 unique subjects which have multiple images from both the LG2200 and LG4000 iris sensors. Every subject occurs in at least two sessions in the data set. 117503 images were collected from the LG2200, and the data sets contains the originals plus 117,503 resized versions of the same images (to undo a non-unit aspect ratio inherent in the sensor). 29939 images from the LG4000 are also contained in the data set. This data set spans three years, 2008 to 2010.  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.

  2. •ND-TWINS-2009-2010.  The data set contains 24050 color photographs of the faces of 435 attendees at the Twins Days Festivals in Twinsburg, Ohio in 2009 and 2010. All images were captured by Nikon D90 SLR cameras. Images were captured under natural light in "indoor" and "outdoor" configurations ("indoor" was a tent).  Facial yaw varied from -90 to +90 degrees in steps of 45 degrees (zero degrees was frontal).  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.

  3. •ND-TimeLapseIris-2012. The TimeLapseIris data set contains 6797 images collected from 23 subjects (46 different irises) between January 2004 and October 2008.  It corresponds to the data set used in a chapter in a forthcoming book (complete citation coming soon) to demonstrate the effects of elapsed time between probe and gallery image acquisition on iris recognition system performance.  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.

  4. •ND-2006 Dataset.  The ND-2006 data set contains a total of 13,450 images containing 6 different types of expressions (Neutral, Happiness, Sadness, Surprise, Disgust, and Other). A total of 888 distinct persons, with as many as 63 images per subject, are available in this data set.  This data set corresponds exactly to the data set described in: Faltemier, T.C.;   Bowyer, K.W.;   Flynn, P.J.; Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition, Proc. First IEEE International Conference on Biometrics: Theory, Applications, and Systems, September 2007, pp. 1-6.  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.

  5. •3D Twins Expression Challenge ("3D TEC") Dataset.  The data set contains 3D face scans for 107 pairs of twins. There are 107 x 2 = 214 individuals, each with a 3D face scan with a smiling expression and a scan with a neutral expression, and so 214 x 2 = 428 total scans. The scans were acquired with a Minolta Vivid 910.  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.

  6. •ND-QO-Flip Crowd Video Database (license agreement): The database contains 14 crowd videos of 90 subjects, five of whom appear in multiple videos and 85 of whom appear in one video.  These videos were acquired between November 2009 and May 2010.  To obtain access to this database, retrieve the license agreement and forward it to your institution or company’s legal office for review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.  Publications using this database must cite the paper listed in the license agreement.

  7. • ND-IRIS-0405 Iris Image Dataset.  A technical report describing this data set is here. The data set contains 64,980 iris images obtained from 356 subjects (712 unique irises) between January 2004 and May 2005.  To obtain access to this data set, retrieve the license agreement and forward it to your institution or company’s legal office fore review and signature. The license agreement MUST be reviewed and signed by an individual authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Once the form is signed, it may be scanned and emailed to cvrl@nd.edu, or faxed to the attention of D. Wright at +1 574 631-9260.  Upon receipt and approval of the license agreement, download instructions will be sent to the licensee.  Publications using this database must cite the paper listed in the license agreement.

  8. • Multiple Biometric Grand Challenge (MBGC) version 2 data collection.  Contact mbgc@nist.gov regarding this database.  Information about the MBGC program may be found here.  We provide access to this data set only upon approval from NIST. The MBGC v2 and MBGC v1 data sets are separately licensed; MBGC v1 licensees must complete a new license for MBGC v2. (MBGC-v2.0-data-license-agreement) (MBGC-v2.0-UTD-video-DB-permission) (MBGC-v2.0-UTD-video-license-agreement)

  9. • Multiple Biometric Grand Challenge (MBGC) version 1 data collection.  Contact mbgc@nist.gov regarding this database.  Information about the MBGC program may be found here.  We provide access to this data set only upon approval from NIST. (MBGC v1.0 license agreement)

  10. • Iris Challenge Evaluation (ICE 2005) data collection. With the release of the ND-IRIS-0405 data set described above, the ICE 2005 data set is no longer available.

  11. • Face Recognition Grand Challenge (FRGC v2.0) data collection. Contact frgc@nist.gov regarding this database.  Information about the FRGC program may be found here.  We provide access to this data set only upon approval from NIST. Note: the FRGC 1.0a data collection has been superseded by the FRGC v2.0 collection and is no longer available. BOTH the FRGC 2.0 License and the BEE software license agreement MUST be completed and submitted. (FRGC 2.0 license agreement) (BEE software license agreement)

  12. • Face and Ocular Challenge Series (FOCS) data collection.  Contact mbgc@nist.gov regarding this database.  Information about the FOCS program may be found here.  We provide access to this data set only upon approval from NIST. The license agreement, UTD-video-DB-Permission agreement and the UTD-video-license-agreement must all be properly executed and sent in.  (license agreement)(UTD-video-DB-permission) (UTD-video-license-agreement)


The following UND biometrics data sets may be obtained using instructions at the bottom of the page.


  1. • Collection B (license agreement) : 33,287 visible-light frontal face images captured from 487 human subjects from 2002 through 2004.  Each subject was photographed with a high-resolution digital camera (1600x1200 or 2272x1704) under different lighting and expression conditions. Many subjects were photographed every week for 10 weeks in the Spring of 2002, 13 weeks in the fall of 2002, and 15 weeks in the spring of 2003. The number of images per subject ranges from 4 to 227 with an average of 68. Hence, this database provides a significant amount of 'repeat data' to assess performance of face recognition systems with respect to time elapsed since enrollment.

  2. • Collection C (license agreement): 2,492 LWIR frontal face images from 241 human subjects captured in 2002.  All images are 320x240 and were captured in 2002 by a Merlin-Uncooled camera purchased from Indigo Systems in 2001.

  3. • Collection D (license agreement) : 953 3D (+ corresponding 2D) frontal face images from 277 human subjects, captured in 2003.  These images were acquired with a Minolta Vivid 900 3D range scanner.

  4. • Collection E (license agreement) : 464 visible-light profile (ear) images from 114 human subjects captured in 2002.

  5. • Collection F (license agreement) : 942 3D (+ corresponding 2D) profile (ear) images from 302 human subjects captured in 2003 and 2004.

  6. • Collection G (license agreement): 738 3D (+ corresponding 2D) profile (ear) images from 235 human subjects captured between 2003 and 2005.

  7. • Collection H (license agreement): 1191 3D (+ corresponding 2D) images of the back  (non-palm) portion of 223 different human hands captured between 2003 and 2005.

  8. • Collection J2 (license agreement): 1800 3D (+ corresponding 2D) profile (ear) images from 415 human subjects captured between 2003 and 2005. Corresponds to data used in Yan and Bowyer, "Biometric recognition using three-dimensional ear shape," PAMI 29(8), August 2007.

  9. • Collection X1 (license agreement) : 2292 IR frontal face images and 2292 visible frontal face images from 82 human subjects captured from 2002-2004.

  10. • Collection X2 (license agreement): 1191 3D (+ corresponding 2D) images of the back of the hand from 223 human subjects, captured from 2003-2004

  11. •Collection NDOff-2007 (license agreement): 7398 3D (+ corresponding 2D) images of 396 human subject faces. The subjects were asked to orient their heads in a variety of ways. The face yaw and pitch are encoded in the file names.  Corresponds approximately to data used in: + Timothy Faltemier, Kevin W. Bowyer and Patrick J. Flynn, Rotated Profile Signatures for robust 3D feature detection, Proc. Automatic Face & Gesture Recognition (FG ’08), Sept. 2008, Amsterdam.        http://dx.doi.org/10.1109/AFGR.2008.4813413


If you wish to obtain any element of the UND Biometrics Database:

  1. • Download the applicable license agreement.

  2. • The license agreement MUST be reviewed and signed by the individual or entity authorized to make legal commitments on behalf of the institution or corporation.  We cannot accept licenses signed by students or faculty members. Your institution’s legal office must review and execute the license.

  3. • Return the properly signed license agreement of the collection via fax (+1-574-631-9260, attention D. Wright) or email a scanned copy to cvrl @ nd.edu .

  4. • Wait for approval and information about shipment/transmission of the data. All the data will be distributed via the internet using the rsync utility.