A survey on infrared image & video sets

Date

2023-01-01

Author

Danaci, Kevser Irem
Akagündüz, Erdem

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this survey, we compile a list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers. We mainly focus on IR image and video sets, which are collected and labelled for computer vision applications such as object detection, object segmentation, classification, and motion detection. We categorise 109 publicly available or private sets according to their sensor types, image resolution, and scale. We describe each set in detail regarding their collection purpose, operation environment, optical system properties, and application area. We also cover a general overview of fundamental concepts related to IR imagery, such as IR radiation, IR detectors, IR optics and application fields. We analyse the statistical significance of the entire corpus from different perspectives. This survey will be a guideline for computer vision and artificial intelligence researchers who want to delve into working with the spectra beyond the visible domain.

Subject Keywords

Deep learning datasets, Infrared image & video sets, Infrared imagery, Survey

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85164964942&origin=inward
https://hdl.handle.net/11511/104720

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Graduate School of Informatics, Article