update version

README.md

@@ -68,7 +68,7 @@ The master branch works with **PyTorch 1.6+**.
 
 ## What's New
 
-**v0.0.1** was released on 21/9/2022:
+**v0.1.0** was released on 20/9/2022:
 
 - Unified component interfaces based on [OpenMMLab 2.0](https://github.com/open-mmlab) and [MMDetection 3.0](https://github.com/open-mmlab/mmdetection/tree/3.x)
 - Support for YOLOv5/YOLOX training and deployment, support for YOLOv6 inference and deployment

README_zh-CN.md

@@ -67,7 +67,7 @@ MMYOLO 是一个基于 PyTorch 的 YOLO 系列算法开源工具箱。它是 [Op
 
 ## 最新进展
 
-**v0.0.1** 版本已经在 2022.9.21 发布：
+**v0.1.0** 版本已经在 2022.9.20 发布：
 
 - 基于 [OpenMMLab 2.0](https://github.com/open-mmlab) 和 [MMDetection 3.0](https://github.com/open-mmlab/mmdetection/tree/3.x) 统一了各组件接口。
 - 支持 YOLOv5/YOLOX 训练和部署，支持 YOLOv6 推理和部署

mmyolo/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '0.0.1'
+__version__ = '0.1.0'
 
 from typing import Tuple
 

tools/misc/download_dataset.py

@@ -86,8 +86,8 @@ def main():
             'http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCdevkit_08-Jun-2007.tar',  # noqa
         ],
         balloon=[
-            'https://github.com/matterport/Mask_RCNN/' +
-            'releases/download/v2.1/balloon_dataset.zip'
+            # src link: https://github.com/matterport/Mask_RCNN/releases/download/v2.1/balloon_dataset.zip # noqa
+            'https://download.openmmlab.com/mmyolo/data/balloon_dataset.zip'
         ])
     url = data2url.get(args.dataset_name, None)
     if url is None: