Inria Aerial Image Labeling

Inria Aerial Image Labeling Dataset 是用于城市建筑物检测的遥感图像数据集。其标记分为建筑物和非建筑物，主要用于语义分割。
该数据集由 Inria 于 2017 年发表，相关论文包括《Can Semantic Labeling Methods Generalize to Any City? Inria 航拍图像标注基准""

The Inria Aerial Image Labeling Dataset is a remote sensing image dataset dedicated to urban building detection. Its annotations are divided into two categories: building and non-building, and it is primarily used for semantic segmentation tasks. This dataset was published by Inria in 2017, and the relevant associated paper is titled "Can Semantic Labeling Methods Generalize to Any City? Inria Aerial Image Labeling Benchmark".

搜集汇总

背景与挑战

背景概述

Inria Aerial Image Labeling Dataset 是一个专注于城市建筑物检测的遥感图像数据集，主要用于语义分割任务，标记类别包括建筑物和非建筑物。该数据集由Inria于2017年发布，包含约21,000个文件，总大小为65.4GB，适用于计算机视觉和遥感领域的模型训练与评估。