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Expand Down Expand Up @@ -410,6 +410,7 @@ <h1>Source code for torchvision.datasets.stanford_cars</h1><div class="highlight
<span class="sd"> has been split roughly in a 50-50 split</span>

<span class="sd"> The original URL is https://ai.stanford.edu/~jkrause/cars/car_dataset.html, but it is broken.</span>
<span class="sd"> Follow the instructions in ``download`` argument to obtain and use the dataset offline.</span>

<span class="sd"> .. note::</span>

Expand All @@ -424,8 +425,12 @@ <h1>Source code for torchvision.datasets.stanford_cars</h1><div class="highlight
<span class="sd"> target and transforms it.</span>
<span class="sd"> download (bool, optional): This parameter exists for backward compatibility but it does not</span>
<span class="sd"> download the dataset, since the original URL is not available anymore. The dataset</span>
<span class="sd"> seems to be available on Kaggle so you can try to manually download it using</span>
<span class="sd"> `these instructions &lt;https://github.com/pytorch/vision/issues/7545#issuecomment-1631441616&gt;`_.</span>
<span class="sd"> seems to be available on Kaggle so you can try to manually download and configure it using</span>
<span class="sd"> `these instructions &lt;https://github.com/pytorch/vision/issues/7545#issuecomment-1631441616&gt;`_,</span>
<span class="sd"> or use an integrated</span>
<span class="sd"> `dataset on Kaggle &lt;https://github.com/pytorch/vision/issues/7545#issuecomment-2282674373&gt;`_.</span>
<span class="sd"> In both cases, first download and configure the dataset locally, and use the dataset with</span>
<span class="sd"> ``&quot;download=False&quot;``.</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
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