Raindrop

该数据集提供了受雨滴影响的真实世界图像，旨在用于训练模型以处理雨滴造成的图像退化问题。该数据集包含了1,069张图像，其任务是针对恶劣天气条件下的图像恢复。

This dataset provides real-world images impaired by raindrops, which is designed to train models to address image degradation caused by raindrops. It contains 1,069 images, and its targeted task is image restoration under adverse weather conditions.

搜集汇总

背景与挑战

背景概述

Raindrop数据集专注于单图像雨滴去除任务，采用基于注意力机制的生成对抗网络（GAN）技术，显著提升了雨滴去除的准确性和图像恢复质量。该数据集在定量评估（PSNR和SSIM）和定性评估（视觉效果）上均优于现有方法，适用于计算机视觉和图像处理领域的研究。