VEDAI

该数据集名为VEDAI，其包含了从公共的犹他州ARGC数据库中收集的航拍图像，主要关注于车辆检测。这些图像具有三个RGB通道和一个红外通道，其地面采样距离为12.5厘米。整个数据集共有1250张图像，涵盖了九种不同的车辆类别，旨在支持航拍图像中的车辆检测任务。

The dataset is named VEDAI. It comprises aerial images collected from the public Utah ARGC database, with the core focus on vehicle detection. These images have three RGB channels and one infrared channel, with a ground sampling distance of 12.5 cm. The entire dataset contains a total of 1250 images covering nine distinct vehicle categories, and it is designed to support vehicle detection tasks in aerial imagery.

搜集汇总

背景与挑战

背景概述

VEDAI是一个航空影像车辆检测基准数据集，包含具有多变性特征的小尺寸车辆图像，提供多光谱波段和分辨率选项，并包含实验协议和基线算法性能用于算法评估和比较。