<div class="sc-cmRAlD dkqmWS"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-jgvlka jFuPjz"><div class="sc-gzqKSP ktvwwo"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><p>A version of the Kaggle BCCD White Blood Cell (WBC) dataset modified for out-of-domain few-shot classification.</p>

<p>We recommend using this dataset as an out-of-domain testing target for few-shot classification. As such, no training/testing splits are published.</p>

<p>The original version can be found <a aria-label="here (opens in a new tab)" target="_blank" href="https://www.kaggle.com/datasets/paultimothymooney/blood-cells">here</a>.<br>

All credit goes to the original authors of this dataset (Shenggan and Paul Mooney).</p>

<h2>Dataset Structure and Composition</h2>

<p>This dataset is structured as an image folder dataset, meaning each folder represents a class and contains images of the respective class.</p>

<p>Total Number of Images: 3500<br>

Total Number of Classes: 5<br>

Images per Class: 700<br>

Image Size: 84x84px</p>

<h2>Changes</h2>

<ul>

<li>All novel cell images have been pooled into a singular image dataset.</li>

<li>Basophil cell images have been extracted from the master dataset and added as a new class. Images in the basophil class have been resampled following the same procedure applied in the original dataset.</li>

</ul>

<h2>Testing Setup</h2>

<p>In-domain Training Set: mini-imagenet training set<br>

Testing Settings: 5-way 1-shot and 5-way 5-shot</p>

<h2>License</h2>

<p>MIT<br>

<a rel="noreferrer nofollow" aria-label="https://github.com/Shenggan/BCCD_Dataset (opens in a new tab)" target="_blank" href="https://github.com/Shenggan/BCCD_Dataset">https://github.com/Shenggan/BCCD_Dataset</a></p></div></div></div>