RGBT-1K: An RGB-Thermal Paired dataset

In this dataset, we present a novel RGB-Thermal paired dataset, RGBT-1K, comprising 1,000 image pairs specifically curated to support research in multi-modality image processing. The dataset captures diverse indoor and outdoor scenes under varying lighting conditions, offering a robust benchmark for applications in image enhancement, object detection, and scene analysis. The image acquisition process involved using the FLIR A70 thermal camera and the Sony Handycam HDR-CX405, with the latter positioned atop the thermal camera for precise alignment. The dataset then goes through image registration and transformation steps to better align it pixel by pixel for training in learning-based approaches. This setup ensured synchronized RGB and thermal captures, allowing for accurate multi-modal data analysis. Potential applications of this dataset span a wide range of computer vision tasks, including surveillance, autonomous navigation, and medical imaging, making it a valuable resource for academia and industry.

本数据集呈现了一款创新的RGB-热成像配对数据集，即RGBT-1K，其中包含1,000对精心挑选的图像，旨在支持多模态图像处理领域的研究。该数据集涵盖了在多种光照条件下，室内外场景的多样性，为图像增强、目标检测和场景分析等应用提供了坚实的基准。图像采集过程中，我们采用了FLIR A70热成像相机和索尼Handycam HDR-CX405，后者置于热成像相机之上，以确保精确的对齐。随后，数据集经过图像配准和变换步骤，以更好地实现像素级的对齐，从而适用于基于学习的训练方法。该配置确保了RGB和热成像数据的同步采集，从而实现了多模态数据的精确分析。本数据集的潜在应用范围广泛，涵盖计算机视觉的众多任务，如监控、自主导航和医学成像，因此它对学术界和产业界都具有极高的价值。

搜集汇总

背景与挑战

背景概述

RGBT-1K是一个包含1,000对RGB和热成像图像的数据集，专为多模态图像处理研究设计。数据集使用FLIR A70和Sony Handycam设备采集，涵盖多样室内外场景，适用于图像增强、目标检测等计算机视觉任务。