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Thermal Imaging Datasets

Thermal Imaging Datasets

You can find some public thermal imaging datasets available from our group. These include:

 C3I THERMAL AUTOMOTIVE DATASET

An annotated dataset available via IEEE Dataports.

The C3I Thermal Automotive Dataset provides > 35,000 distinct frames along with annotated thermal frames for the development of smart thermal perception system/ object detection system that will enable the automotive industry and researchers to develop safer and more efficient ADAS and self-driving car systems. The overall dataset is acquired, processed, and open-sourced in challenging weather and environmental scenarios. The dataset is recorded from a lost-cost yet effective 640x480 uncooled LWIR thermal camera. The dataset is gathered by mounting the camera stand-alone and on an electric vehicle to minimize mechanical vibrations.

This Dataset is Published by NUIG under the HELIAUS EU Project.

 Dataset Link: https://ieee-dataport.org/documents/c3i-thermal-automotive-dataset

Instructions for using the Dataset

All researchers/professionals need to follow the instructions below to access the datasets.

• If you are using this dataset it is requested to fill the google dataset dissemination form (Link: https://docs.google.com/forms/d/e/1FAIpQLSfi8K8DE4a6kBtVD3GyCXvMCcTrvSCm...). Please use institutional/ Company email address(es). Commercial emails such as Gmail are not allowed.
• Annotation for bounding boxes is provided to train YOLO/ YOLO-v5 based detectors.
• Also please cite this dataset along with the following papers.

1. M. A. Farooq, P. Corcoran, C. Rotariu and W. Shariff, "Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)," in IEEE Access, vol. 9, pp. 156465-156481, 2021, doi: 10.1109/ACCESS.2021.3129150.
Link: https://ieeexplore.ieee.org/document/9618926

2. M. A. Farooq, W. Shariff and P. Corcoran, "Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3158094.
Link: https://ieeexplore.ieee.org/document/9732195

Thank you

Best Regards

Muhammad Ali Farooq
Researcher
Email: m.farooq3@nuigalway.ie; mail.frq@gmail.com
Cell no: +3530899556961
NUIG-Ireland