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fdZd Z xZS ) StanfordCarsa Stanford Cars Dataset
The Cars dataset contains 16,185 images of 196 classes of cars. The data is
split into 8,144 training images and 8,041 testing images, where each class
has been split roughly in a 50-50 split
The original URL is https://ai.stanford.edu/~jkrause/cars/car_dataset.html, but it is broken.
Follow the instructions in ``download`` argument to obtain and use the dataset offline.
.. note::
This class needs `scipy `_ to load target files from `.mat` format.
Args:
root (str or ``pathlib.Path``): Root directory of dataset
split (string, optional): The dataset split, supports ``"train"`` (default) or ``"test"``.
transform (callable, optional): A function/transform that takes in a PIL image
and returns a transformed version. E.g, ``transforms.RandomCrop``
target_transform (callable, optional): A function/transform that takes in the
target and transforms it.
download (bool, optional): This parameter exists for backward compatibility but it does not
download the dataset, since the original URL is not available anymore. The dataset
seems to be available on Kaggle so you can try to manually download and configure it using
`these instructions `_,
or use an integrated
`dataset on Kaggle `_.
In both cases, first download and configure the dataset locally, and use the dataset with
``"download=False"``.
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