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一、前言使用 U-Net 对具有七个通道的多光谱图像执行语义分割。语义分割涉及用类标记图像中的每个像素。语义分割的一个应用是跟踪森林砍伐，即森林覆盖率随时间的变化。环境机构跟踪森林砍伐，以评估和量化一个地区的环境和生态健康状况。基于深度学习的语义分割可以从高分辨率航空照片中精确测量植被覆盖。一个挑...

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深度学习/自动驾驶数据集大集合（目标检测/图像分割/语义分割/图像分类/）

CIFAR-10数据集CIFAR-10数据集(加拿大高级研究所，10类)是 Tiny Images 数据集的一个子集，由60000个32x32彩色图像组成。这些图片被贴上了10个相互排斥类别的标签: 飞机、汽车(但不包括卡车或皮卡)、鸟、猫、鹿、狗、青蛙、马、船和卡车(但不包括皮卡)。每个班有600...

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更新时间 2023-07-14 03:38:22

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