--- a
+++ b/tools/convert_datasets/loveda.py
@@ -0,0 +1,73 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+import argparse
+import os
+import os.path as osp
+import shutil
+import tempfile
+import zipfile
+
+import mmcv
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(
+        description='Convert LoveDA dataset to mmsegmentation format')
+    parser.add_argument('dataset_path', help='LoveDA folder path')
+    parser.add_argument('--tmp_dir', help='path of the temporary directory')
+    parser.add_argument('-o', '--out_dir', help='output path')
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = parse_args()
+    dataset_path = args.dataset_path
+    if args.out_dir is None:
+        out_dir = osp.join('data', 'loveDA')
+    else:
+        out_dir = args.out_dir
+
+    print('Making directories...')
+    mmcv.mkdir_or_exist(out_dir)
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'img_dir'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'img_dir', 'train'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'img_dir', 'val'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'img_dir', 'test'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'ann_dir'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'ann_dir', 'train'))
+    mmcv.mkdir_or_exist(osp.join(out_dir, 'ann_dir', 'val'))
+
+    assert 'Train.zip' in os.listdir(dataset_path), \
+        'Train.zip is not in {}'.format(dataset_path)
+    assert 'Val.zip' in os.listdir(dataset_path), \
+        'Val.zip is not in {}'.format(dataset_path)
+    assert 'Test.zip' in os.listdir(dataset_path), \
+        'Test.zip is not in {}'.format(dataset_path)
+
+    with tempfile.TemporaryDirectory(dir=args.tmp_dir) as tmp_dir:
+        for dataset in ['Train', 'Val', 'Test']:
+            zip_file = zipfile.ZipFile(
+                os.path.join(dataset_path, dataset + '.zip'))
+            zip_file.extractall(tmp_dir)
+            data_type = dataset.lower()
+            for location in ['Rural', 'Urban']:
+                for image_type in ['images_png', 'masks_png']:
+                    if image_type == 'images_png':
+                        dst = osp.join(out_dir, 'img_dir', data_type)
+                    else:
+                        dst = osp.join(out_dir, 'ann_dir', data_type)
+                    if dataset == 'Test' and image_type == 'masks_png':
+                        continue
+                    else:
+                        src_dir = osp.join(tmp_dir, dataset, location,
+                                           image_type)
+                        src_lst = os.listdir(src_dir)
+                        for file in src_lst:
+                            shutil.move(osp.join(src_dir, file), dst)
+        print('Removing the temporary files...')
+
+    print('Done!')
+
+
+if __name__ == '__main__':
+    main()