Semantic Segmentation Similar Datasets Created with Highcharts 9.3.0ISPRS VaihingenLoveDAMillion-AIDUAVid License Unknown Modalities Edit Languages Edit
ISPRS 2D Semantic Labeling Contest数据集, Vaihingen部分数据集 包含6种类型的遥感地物类型 提取自航空影像 由ISPRS于20120年发布 包含DSM数据 数据集内容: 影像信息: image size: 1000~4000 * 1000~4000 * 3 image number: 33 pixel resolution: 0.09m标注...
UC Merced(Yang and Newsam, 2010)和MSTAR(Diemunsch and Wissinger, 1998)数据集分别促进了光学遥感场景分类和合成孔径雷达(SAR)目标识别的进展,Cityscape(Cordts et al, 2016)和Vaihingen(Rottensteiner等人,2012)数据集分别促进了自然场景和
isprs_vaihingen/__pycache__/my_dataset.cpython-39.pyc 3176 2022-03-23 21:51:04 isprs_vaihingen/__pycache__/transforms.cpython-39.pyc 3843 2022-03-23 21:51:04 isprs_vaihingen/1_random_pytorch_seg/.idea/.gitignore 184 2022-03-17 18:44:48 isprs_vaihingen/1_random_pytorch_seg/.idea/...
The size of our dataset is ten times of the Vaihingen dataset (Rottensteiner et al., 2014), five times of the CamVid dataset (Brostow et al., 2008) and twice of the Potsdam dataset (Rottensteiner et al., 2014) regarding the labeled number of pixels. All the labels are acquired with ...
ISPRS_Potsdam,Vaihingen数据下载地址 Potsdam数据官网介绍 影像数据集名称:2D Semantic Labeling Contest – Potsdam,共38张6000*6000像素无人机影像,分辨率为 5 厘米/像素。 数据集中包含三种不同通道影像数据,地形数据,标签数据: TOP RGBIR:真实正射影像,红、绿、蓝、红外四通道; TOP IRRG:真... ...
As shown in Table 4, SNDF significantly improves the overall accuracy of existing methods from 91.6% to 92.6% (originally from 91.6% to 92.2%) on the Vaihingen dataset. In the confusion matrices provided by the official website of the ISPRS benchmark, low vegetation and trees are easily ...
python GeoSeg/inference_huge_image.py \ -i data/vaihingen/test_images \ -c GeoSeg/config/vaihingen/dcswin.py \ -o fig_results/vaihingen/dcswin_huge \ -t 'lr' -ph 512 -pw 512 -b 2 -d "pv" Reproduction Results MethodDatasetF1OAmIoU UNetFormer UAVid - - 67.63 UNetFormer Vaihingen...
遥感图像语义分割 isprs_vaihingen数据集 wl_zzz 3枚 BML Codelab 2.2.2 Python3 高级计算机视觉深度学习 2022-04-03 15:58:46 版本内容 数据集 Fork记录 评论(0) 运行一下 train_v_DANet_new 2022-05-04 23:06:41 请选择预览文件 当前Notebook没有标题 BML Codelab基于JupyterLab 全新架构升级,支持亮...
!python predict.py \ --config /home/aistudio/PaddleSeg/configs/1_tanet/tanet_resnet101_vaihingen_512x512_25k.yml \ --model_path /home/aistudio/PaddleSeg/output/best_model/model.pdparams \ --image_path dataset/x_vaihingen_e_osm_6750_t261/test/images/test_image_00008.png \ --save_dir ...