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...@@ -56,6 +56,7 @@ pip install -r requirements.txt # requirements.txt ...@@ -56,6 +56,7 @@ pip install -r requirements.txt # requirements.txt
## 数据集 ## 数据集
源论文采用[ImageNet](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-2012)训练，本步骤说明采用数据集`flowers`，项目中已提供[`flowers`](./datasets/flowers/)迷你数据集进行试用，解压即可，完整数据集请从以下官网下载： 源论文采用[ImageNet](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-2012)训练，本步骤说明采用数据集`flowers`，项目中已提供[`flowers`](./datasets/flowers/)迷你数据集进行试用，解压即可，完整数据集请从以下官网下载：
- https://www.kaggle.com/datasets/alxmamaev/flowers-recognition?resource=download - https://www.kaggle.com/datasets/alxmamaev/flowers-recognition?resource=download
[快速下载通道](http://113.200.138.88:18080/aidatasets/project-dependency/flower/-/blob/main/archive.zip)
数据目录结构如下： 数据目录结构如下：
``` ```
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