DeitY-TU Face Dataset








The DeitY-TU Face Database contains 49,780 images of 524 subjects collected from five different states of northeastern India (Mizoram, Assam, Tripura, Nagaland, Manipur) i.e. Mongoloid Race with different ethnic background (Meghalayan, Nagamese, Mizo, Arunachali and Manipuri). Database images are captured with the combined challenges of illumination (4), expression (8), and pose (5). Five different poses are available for each combination of illumination and expression in the database. Soft biometric features such as moles, scars, and freckles are also present in 126, 39, and 17 individuals’ faces, respectively along with ground truth information.


Importance/Utilities of the Dataset: The key features of the designed dataset are as follows:

i. Database images are captured with the combined challenges of illumination (4), expression (8), and pose (5). Five different poses are available for each combination of illumination and expression in the database.

ii. Soft biometric features such as moles, scars, and freckles are also present in 126, 39, and 17 individuals’ faces, respectively along with ground truth information.

Dataset Statistic:

State Total Images No. of image per person Total Persons Male Female Tribe Non-Tribe

Mizoram 10,640 95 112 62 50 112 00
Assam 10,165   107 46 61 14 93
Tripura 9500   100 49 51 34 66
Nagaland 9595   101 57 44 101 00
Manipur 9890   104 80 24 29 75

Total 49,780 95 524 294 230 290 234


Year of Developed of Dataset: 2014


Dataset Releasing Year: Permission pending from funding agency


Size of Dataset: N/A


Publications: [1] Priya Saha, Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Barin Kumar De, “Expression Recognition of North-East Indian (NEI) Faces”, Multimedia Tools and Applications, Vol.74, No. 24, pp. 16781-16807, published by Springer US, Indexed by Science Citation Index Expanded (SCIE), Impact Factor: 2.313, 2016, ISSN: 1380-7501 (Print) and 1573-7721 (Online), https://doi.org/10.1007/s11042-015-2945-2  Download

[2] Mrinal Kanti Bhowmik,Kankan Saha, Priya Saha, Debotosh Bhattacharjee, " DeitY-TU face database: its design, multiple camera capturing, characteristics, and evaluation", Journal of Optical Engineering, Vol. 53, No. 10, pp: 102106-1 to 24, Published by SPIE Digital Library, Indexed by Science Citation Index Expanded (SCIE), 2014, ISSN: 0091-3286 (Print) and 1560-2303 (Online), Impact Factor: 1.113, DOI: 10.1117/1.OE.53.10.102106.  Download


Copyright: The DeitY-TU Face Dataset is the property of Tripura University. This data can only be used for research or academic purposes. Any commercial use of the data whatsoever or incorporation of the data into a larger database intended for public distribution must be done with the explicit written consent of the administrators.


Sponsored/Funded By: Department of Electronics and Information Technology(DIT),Now MeitY (Ministry of Electronics & Information Technology), New Delhi, Government of India.







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