无人机图像语义分割数据集

<p>UAVid无人机图像语义分割数据集</p><p>数据来源：公开网站</p><p>数据规模：30 个视频序列，共 300 张图像</p><p>数据特点：高分辨率的无人机语义分割数据集，包括大规模变化、运动物体识别和时间一致性保持。UAV 数据集由 30 个视频序列组成，这些视频序列在倾斜视图中捕获 4K 高分辨率图像。总共有 300 张图像被密集标记为 8 个类别，用于语义标记任务。</p><p>应用场景：无人机测绘、建筑检查等领域</p>

<p>UAVid UAV Image Semantic Segmentation Dataset</p><p>Data Source: Public Websites</p><p>Dataset Scale: 30 video sequences, totaling 300 images</p><p>Data Characteristics: This is a high-resolution UAV semantic segmentation dataset featuring large-scale variations, moving object recognition and temporal consistency maintenance. The UAV dataset consists of 30 video sequences that capture 4K high-resolution images in oblique views. A total of 300 images are densely annotated with 8 categories for the semantic labeling task.</p><p>Application Scenarios: UAV mapping, building inspection, and other relevant fields</p>