VIFB

VIFB数据集由上海交通大学航空航天学院创建，包含21对可见光和红外图像，覆盖室内外多种环境条件。数据集通过互联网和跟踪数据集收集，用于测试图像融合算法的泛化能力。创建过程中，整合了20种最新的图像融合算法和13种评估指标，旨在通过全面评估，推动图像融合技术的发展，特别是在对象跟踪、检测和生物识别等领域的应用。

The VIFB dataset was created by the School of Aeronautics and Astronautics, Shanghai Jiao Tong University. It comprises 21 pairs of visible and infrared images, covering a wide range of indoor and outdoor environmental conditions. Collected via the Internet and existing tracking datasets, this dataset is utilized to test the generalization ability of image fusion algorithms. During its development, 20 state-of-the-art image fusion algorithms and 13 evaluation metrics were incorporated, with the goal of advancing the development of image fusion technology through comprehensive evaluation, especially for its applications in domains such as object tracking, detection and biometric recognition.