Dataset

In this tutorial, we will use four dataset to do the following explaination:

  • Waiting-for-you dataset: There are two different image domain, and contains 1782 and 2039 images, respectively. This dataset will be used in example1 and example5. You can find the dataset in the following link:
https://www.dropbox.com/s/cbuwbrehgglebhp/waiting_for_you_dataset.zip?dl=0
  • Single flower-to-flower dataset: There are also two different image domain but in video form. This dataset will be used in example2. You can download from the following link:
https://drive.google.com/drive/folders/1mmWND9ZLK9nZwa8lMQWOVjN5sU_rrWD0?usp=sharing
  • Ear-Pen dataset: This simple dataset contains the image and pixel-wise segmentation label. This dataset will be used in example3. You can find the dataset here (Just need to download train and test folder):
https://github.com/SunnerLi/Ear-Pen/tree/master/generate
  • CityScapes (optional): The Torchvision_sunner toolkit can also deal with open-source dataset. This dataset will be used in example4. You can find the dataset here:
https://www.cityscapes-dataset.com/

After you download the dataset, please place them into ./Dataset, and we can start to learn how to use this package!