agriscapes RB-Dust

agriscapes RB-Dust数据集是由德国巴登-符腾堡双元制应用技术大学和慕尼黑工业大学共同创建，旨在解决农业环境中尘埃对自主农业机械环境感知的影响问题。该数据集包含200张图像，这些图像来自三个不同的田地，涵盖了多种角度和光照条件。数据集的创建过程中，特别设计了一个固定的拍摄装置，确保能够从同一位置拍摄到有尘和无尘的图像。该数据集主要应用于农业领域，特别是用于验证和改进基于视觉的尘埃去除算法，以提高自主农业机械的环境感知能力。

The Agriscapes RB-Dust dataset was co-developed by the Baden-Württemberg Cooperative State University and the Technical University of Munich, with the goal of addressing the adverse effects of agricultural dust on the environmental perception capabilities of autonomous agricultural machinery. This dataset contains 200 images collected from three distinct fields, covering a wide range of shooting angles and lighting conditions. During the construction of this dataset, a specialized fixed imaging setup was designed to ensure that both dusty and dust-free images could be captured from the exact same shooting position. This dataset is primarily utilized in the agricultural domain, specifically for validating and improving vision-based dust removal algorithms to enhance the environmental perception performance of autonomous agricultural machinery.