Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Doc] update opendatalab download link (add postfix) #9738

Merged
merged 1 commit into from
Feb 8, 2023
Merged

[Doc] update opendatalab download link (add postfix) #9738

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/en/user_guides/dataset_prepare.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ It is recommended to download and extract the dataset somewhere outside the proj
If your folder structure is different, you may need to change the corresponding paths in config files.

We provide a script to download datasets such as COCO, you can run `python tools/misc/download_dataset.py --dataset-name coco2017` to download COCO dataset.
For users in China, more datasets can be downloaded from the opensource dataset platform: [OpenDataLab](https://opendatalab.com/).
For users in China, more datasets can be downloaded from the opensource dataset platform: [OpenDataLab](https://opendatalab.com/?source=OpenMMLab%20GitHub).

For more usage please refer to [dataset-download](./useful_tools.md#dataset-download)

Expand Down
10 changes: 5 additions & 5 deletions docs/en/user_guides/useful_tools.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -389,12 +389,12 @@ python tools/misc/download_dataset.py --dataset-name voc2007
python tools/misc/download_dataset.py --dataset-name lvis
```

For users in China, these datasets can also be downloaded from [OpenDataLab](https://opendatalab.com/) with high speed:
For users in China, these datasets can also be downloaded from [OpenDataLab](https://opendatalab.com/?source=OpenMMLab%20GitHub) with high speed:

- [COCO2017](https://opendatalab.com/COCO_2017/download)
- [VOC2007](https://opendatalab.com/PASCAL_VOC2007/download)
- [VOC2012](https://opendatalab.com/PASCAL_VOC2012/download)
- [LVIS](https://opendatalab.com/LVIS/download)
- [COCO2017](https://opendatalab.com/COCO_2017/download?source=OpenMMLab%20GitHub)
- [VOC2007](https://opendatalab.com/PASCAL_VOC2007/download?source=OpenMMLab%20GitHub)
- [VOC2012](https://opendatalab.com/PASCAL_VOC2012/download?source=OpenMMLab%20GitHub)
- [LVIS](https://opendatalab.com/LVIS/download?source=OpenMMLab%20GitHub)

## Benchmark

Expand Down
2 changes: 1 addition & 1 deletion docs/zh_cn/user_guides/dataset_prepare.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
我们建议将数据集下载，然后解压到项目外部的某个文件夹内，然后通过符号链接的方式，将数据集根目录链接到 `$MMDETECTION/data` 文件夹下，格式如下所示。
如果你的文件夹结构和下方不同的话，你需要在配置文件中改变对应的路径。
我们提供了下载 COCO 等数据集的脚本，你可以运行 `python tools/misc/download_dataset.py --dataset-name coco2017` 下载 COCO 数据集。
对于中国境内的用户，我们也推荐通过开源数据平台 [OpenDataLab](https://opendatalab.com/) 来下载数据，以获得更好的下载体验。
对于中国境内的用户，我们也推荐通过开源数据平台 [OpenDataLab](https://opendatalab.com/?source=OpenMMLab%20GitHub) 来下载数据，以获得更好的下载体验。

```plain
mmdetection
Expand Down
10 changes: 5 additions & 5 deletions docs/zh_cn/user_guides/useful_tools.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -370,12 +370,12 @@ python tools/misc/download_dataset.py --dataset-name voc2007
python tools/misc/download_dataset.py --dataset-name lvis
```

对于中国境内的用户，我们也推荐使用开源数据平台 [OpenDataLab](https://opendatalab.com/) 来获取这些数据集，以获得更好的下载体验:
对于中国境内的用户，我们也推荐使用开源数据平台 [OpenDataLab](https://opendatalab.com/?source=OpenMMLab%20GitHub) 来获取这些数据集，以获得更好的下载体验:

- [COCO2017](https://opendatalab.com/COCO_2017/download)
- [VOC2007](https://opendatalab.com/PASCAL_VOC2007/download)
- [VOC2012](https://opendatalab.com/PASCAL_VOC2012/download)
- [LVIS](https://opendatalab.com/LVIS/download)
- [COCO2017](https://opendatalab.com/COCO_2017/download?source=OpenMMLab%20GitHub)
- [VOC2007](https://opendatalab.com/PASCAL_VOC2007/download?source=OpenMMLab%20GitHub)
- [VOC2012](https://opendatalab.com/PASCAL_VOC2012/download?source=OpenMMLab%20GitHub)
- [LVIS](https://opendatalab.com/LVIS/download?source=OpenMMLab%20GitHub)

## 基准测试

Expand Down