Datasets
Open Access
Thermal Visual Paired Dataset
- Citation Author(s):
-
SuranjanGoswami
PhD Research Scholar, IIIT-AllahabadNandKumar YadavPhD Research Scholar, IIIT-Allahabad - Submitted by:
- Suranjan Goswami
- Last updated:
- Thu, 09/19/2024 - 00:59
- DOI:
- 10.21227/jjba-6220
- Data Format:
- License:
3470 Views- Categories:
- Keywords:
Abstract
This is a dataset having paired thermal-visual images collected over 1.5 years from different locations in Chitrakoot, India and Prayagraj, India. The images can be broadly classified into greenery, urban, historical buildings and crowd data.
The crowd data was collected from the Maha Kumbh Mela 2019, Prayagraj, which is the largest religious fair in the world and is held every 6 years.
This dataset is partly supported by the Defence Research and Development Organisation (DRDO), Govt of India grant 2535/DIPR-II/MD/CARS-01 with the project title "Develop a method for Design and Development of Software Package(s) for Image Illumination Normalization and Coloring of IR images"
The work associated with this database, which details the registration method, the overall logic behind the creation of this database, resizing factors and the reason why there are unregistered images, is a work on thermal image registration that has been published at the IEEE Conference INCET 2022.
We ask that you refer to this work when using this database for your work.
For more information on the dataset and how the files are arranged, please refer to the README file
The images are classified according to the thermal imager they were used to capture them with.
The SONEL thermal images are inside register_sonel.
The FLIR images are in register_flir and register_flir_old. There are 2 image zip files because FLIR thermal imagers reuse the image names after a certain limit.
The unregistered images are kept as files inside each base zip as unreg folders.
The work associated with this database, which details the registration method, the overall logic behind the creation of this database, resizing factors and the reason why there are unregistered images, is a work on thermal image colorization has been submited to IEEE for consideration, and is currently pre printed and available on arXiv.
We ask that you refer to this work when using this database for your work.
A Novel Registration & Colorization Technique for Thermal to Cross Domain Colorized Images
If you find any problem with the data in this dataset (missing images, wrong names, superfluous python files etc), please let us know and we will try to correct the same.
The naming classification is as follows:
· FLIR
o Registered images are named as <name>.jpg and <name>_color.png with the png file being the optical registered image
o The raw files are named as FLIR<#number>.jpg and FLIR<#number+1>.jpg where the initial file is the thermal image
o The unreg_flir folder contains just the raw files
· SONEL
o Registered images are named as <name>.jpg and <name>_color.png with the png file being the optical registered image
o The raw files are named as IRI_<name>.jpg and VIS_< name >.jpg where the IRI file is the thermal image and VIS is the visual image
o The unreg folder contains just the raw files
Dataset Files
register_flir.zip (601.23 MB)- register_flir_old.zip (727.65 MB)
- register_sonel.zip (4.11 GB)
Open Access dataset files are accessible to all logged in users. Don't have a login? Create a free IEEE account. IEEE Membership is not required.
Documentation
| Attachment | Size |
|---|---|
 README.docx | 13 KB |
