Images and 4-class labels for semantic segmentation of Sentinel-2 and Landsat RGB, NIR, and SWIR satellite images of coasts (water, whitewater, sediment, other) Description 579 images and 579 asso

NIAID Data Ecosystem60

Real-world binary crack dataset

裂缝检测

计算机视觉

该数据集包含了14,000个样本，专门用于检测柔性路面的裂缝问题。该数据集被用于微调六种先进的卷积神经网络模型，以提升裂缝检测的准确性，同时研究数据增强技术对此过程的影响。这一数据集的规模为14,000个样本，其任务是专注于裂缝检测。

arXiv100

Doodleverse/Segmentation Zoo Res-UNet models for 4-class (water, whitewater, sediment and other) segmentation of Sentinel-2 and Landsat-7/8 7-band (RGB+NIR+SWIR+NDWI+MNDWI) images of coasts.

遥感图像分割

图像语义分割

Doodleverse/Segmentation Zoo Res-UNet models for 4-class (water, whitewater, sediment and other) segmentation of Sentinel-2 and Landsat-7/8 7-band (RGB+NIR+SWIR+NDWI+MNDWI) images of coasts. Models

NIAID Data Ecosystem80

CrackNJ156 dataset and the corresponding LETNet conde

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