From be7c9c2e9c6a7092144736c3f42ca1a5ae1e4a85 Mon Sep 17 00:00:00 2001 From: Qin Zhou <1079207272@qq.com> Date: Fri, 26 Apr 2024 22:31:10 +0800 Subject: [PATCH 1/2] [Docs] update 2_dataset_prepare.md en version --- docs/en/user_guides/2_dataset_prepare.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/user_guides/2_dataset_prepare.md b/docs/en/user_guides/2_dataset_prepare.md index 3f94a94289..c23b588edc 100644 --- a/docs/en/user_guides/2_dataset_prepare.md +++ b/docs/en/user_guides/2_dataset_prepare.md @@ -250,7 +250,7 @@ python tools/dataset_converters/cityscapes.py data/cityscapes --nproc 8 ## Pascal VOC Pascal VOC 2012 could be downloaded from [here](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar). -Beside, most recent works on Pascal VOC dataset usually exploit extra augmentation data, which could be found [here](http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchmark.tgz). +Beside, most recent works on Pascal VOC dataset usually exploit extra augmentation data, which could be found [here](https://opendatalab.com/OpenDataLab/SBD/tree/main/raw). If you would like to use augmented VOC dataset, please run following command to convert augmentation annotations into proper format. From fd4a15802842b38133a84cf4a343c2d32bc12301 Mon Sep 17 00:00:00 2001 From: Qin Zhou <1079207272@qq.com> Date: Fri, 26 Apr 2024 22:31:57 +0800 Subject: [PATCH 2/2] [Docs] update 2_dataset_prepare.md zh_cn version --- docs/zh_cn/user_guides/2_dataset_prepare.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/zh_cn/user_guides/2_dataset_prepare.md b/docs/zh_cn/user_guides/2_dataset_prepare.md index e32303a0bd..6dd1acb6d2 100644 --- a/docs/zh_cn/user_guides/2_dataset_prepare.md +++ b/docs/zh_cn/user_guides/2_dataset_prepare.md @@ -250,7 +250,7 @@ python tools/dataset_converters/cityscapes.py data/cityscapes --nproc 8 ## Pascal VOC Pascal VOC 2012 可从[此处](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar)下载。 -此外，Pascal VOC 数据集的最新工作通常利用额外的增强数据，可以在[这里](http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/semantic_contours/benchmark.tgz)找到。 +此外，Pascal VOC 数据集的最新工作通常利用额外的增强数据，可以在[这里](https://opendatalab.com/OpenDataLab/SBD/tree/main/raw)找到。 如果您想使用增强的 VOC 数据集，请运行以下命令将增强数据的标注转换为正确的格式。