Real-world Cross-Modal Learning Dataset

该数据集包含了超过1万组的光学和雷达图像对，旨在推动跨模态学习算法的发展。该数据集涵盖了8个类别：货船、渔船、帆船、游艇、高速双体船、执法船、海洋浮标和直升机。规模上，拥有超过1万组图像对，其任务重点在于跨模态学习。

This dataset contains over 10,000 pairs of optical and radar images, aiming to advance the development of cross-modal learning algorithms. It covers 8 categories: cargo ship, fishing vessel, sailboat, yacht, high-speed catamaran, law enforcement vessel, marine buoy, and helicopter. In terms of scale, it boasts over 10,000 such image pairs, with its core task focusing on cross-modal learning.