--other=update docs

docs/en/get_started.md

@@ -195,7 +195,7 @@ Run it with
 docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmsegmentation/data mmsegmentation
 ```
 
-## Optional Dependencies
+### Optional Dependencies
 
 #### Install GDAL
 

docs/en/user_guides/2_dataset_prepare.md

@@ -620,3 +620,33 @@ It includes 400 images for training, 400 images for validation and 400 images fo
 
 - You could set Datasets version with `MapillaryDataset_v1` and `MapillaryDataset_v2` in your configs.
   View the Mapillary Vistas Datasets config file here [V1.2](https://github.com/open-mmlab/mmsegmentation/blob/main/configs/_base_/datasets/mapillary_v1.py) and [V2.0](https://github.com/open-mmlab/mmsegmentation/blob/main/configs/_base_/datasets/mapillary_v2.py)
+
+## LEVIR-CD
+
+[LEVIR-CD](https://justchenhao.github.io/LEVIR/) Large-scale Remote Sensing Change Detection Dataset for Building.
+
+Download the dataset from [here](https://justchenhao.github.io/LEVIR/).
+
+The supplement version of the dataset can be requested on the [homepage](https://github.com/S2Looking/Dataset)
+
+Please download the supplement version of the dataset, then unzip `LEVIR-CD+.zip`, the contents of original datasets include:
+
+```none
+│   ├── LEVIR-CD+
+│   │   ├── train
+│   │   │   ├── A
+│   │   │   ├── B
+│   │   │   ├── label
+│   │   ├── test
+│   │   │   ├── A
+│   │   │   ├── B
+│   │   │   ├── label
+```
+
+For LEVIR-CD dataset, please run the following command to crop images without overlap:
+
+```shell
+python tools/dataset_converters/levircd.py --dataset-path /path/to/LEVIR-CD+ --out_dir /path/to/LEVIR-CD
+```
+
+The size of cropped image is 256x256, which is consistent with the original paper.

docs/zh_cn/get_started.md

@@ -194,6 +194,16 @@ docker build -t mmsegmentation docker/
 docker run --gpus all --shm-size=8g -it -v {DATA_DIR}:/mmsegmentation/data mmsegmentation
 ```
 
+### 可选依赖
+
+#### 安装 GDAL
+
+[GDAL](https://gdal.org/) 是一个用于栅格和矢量地理空间数据格式的转换库。安装 GDAL 可以读取复杂格式和极大的遥感图像。
+
+```shell
+conda install GDAL
+```
+
 ## 问题解答
 
 如果您在安装过程中遇到了其他问题，请第一时间查阅 [FAQ](notes/faq.md) 文件。如果没有找到答案，您也可以在 GitHub 上提出 [issue](https://github.com/open-mmlab/mmsegmentation/issues/new/choose)