SAMEER-TU Outdoor Dataset





The SAMEER-TU Outdoor Dataset is being created in the Infrared Image Processing Laboratory of Department of Computer Science & Engineering of Tripura University, India, under a project with grant from the Society of Applied Microwave Electronics Engineering & Research (SAMEER), R & D Lab of Dept. of Electronics & Information Technology (DeitY), Ministry of Communications & Information Technology, Government of India. The SAMEER-TU Outdoor Dataset consists of around 5880 natural scenes images in different weather and illumination conditions, out of which 1100 images are captured in foggy condition, 306 images in poor illumination condition and 4474 images in normal condition. All those natural scene images are captured by NIKON D5100 and FLIR E60 in the outdoor environment after 15 minutes interval from 6 am to 6 pm in alternate five days from the month of January to March of the year 2014. During capturing, the temperature ranges from 10-degree centigrade to 24-degree centigrade, humidity ranges from 95% to 100%, dew point ranges from 10-degree centigrade to 15-degree centigrade, wind speed ranges from 1 mph to 3.5 mph and visibility ranges from 0 km to 1 km.

Dataset Statistic:

Image Type Camera Model Number of Scenes Total Images Total Images
Foggy Condition Poor Illumination Condition Normal Condition

Visual FLIR E60 12 40 28 52 120
Thermal 12 40 28 52 120
Visual Nikon D5100 12 1020 250 4370 5640

Total Number of Images 1100 306 4474 5880

Year of Developed of Dataset: 2013


Dataset Releasing Year: Permission pending from funding agency




Size of Dataset:  N/A


Publications: [1] Sourav Dey Roy, Tannistha Pal, and Mrinal Kanti Bhowmik, “Benchmarking of Natural Scene Image Dataset in Degraded Conditions for Visibility Enhancement”, 28th IEEE International Conference on Image Processing (ICIP-2021)- Tier II Conference, Anchorage-Alaska, USA, 19th-22th September, 2021. DOI: 10.1109/ICIP42928.2021.9506573  Download

[2] Tannistha Pal, and Mrinal Kanti Bhowmik, “Quality Enhancement of Foggy Images Comprising of Large Sky Region on SAMEER TU Dataset”, 9th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), IISc Bangalore, 10-12 July 2018. DOI: 10.1109/ICCCNT.2018.8493832  Download

[3] Tannistha Pal, and Mrinal Kanti Bhowmik, “Defogging of Visual Images Using SAMEER-TU Database”, Procedia Computer Science, Elsevier, Int. Conf. on Information and Communication Technologies, Cochin University of Science & Technology, 3-5 December 2014. DOI:https://doi.org/10.1016/j.procs.2015.02.108  Download

[4] Kakali Das, Mrinal Kanti Bhowmik, and Barin Kumar De, “Background Subtraction Algorithm For Moving Object Detection Using SAMEER-TU Dataset”, Proceedings of 4th International Conference on Soft computing for Problem Solving (‘SOCPROS’ 2014), Springer, Vol. 2, pp. 279-291, 2014, NIT Silchar, India, ISBN: 978-81-222-2216-2 (print), 978-81-222-2217-0 (online).  Download


Copyright: The SAMEER-TU Outdoor 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: Society for Applied Microwave Electronics Engineering and Research (SAMEER)


Accessed By:
  1. Islamic University of Science and Technology, 1-University Avenue, Awantipora, Pulwama, Jammu and Kashmir, India.
For Access/Download This Dataset Click Here

Click here to download User Agrement Form and send the user Agrement form to mrinalkantibhowmik@tripurauniv.ac.in, mkb_cse@yahoo.co.in and mkb.cse@gmail.com







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