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<li><a class="reference internal" href="#"><code class="docutils literal"><span class="pre">sklearn.datasets</span></code>.load_sample_images</a></li>
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<h1><a class="reference internal" href="../classes.html#module-sklearn.datasets" title="sklearn.datasets"><code class="xref py py-mod docutils literal"><span class="pre">sklearn.datasets</span></code></a>.load_sample_images<a class="headerlink" href="#sklearn-datasets-load-sample-images" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="sklearn.datasets.load_sample_images">
<code class="descclassname">sklearn.datasets.</code><code class="descname">load_sample_images</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/51a765a/sklearn/datasets/base.py#L557"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.datasets.load_sample_images" title="Permalink to this definition">¶</a></dt>
<dd><p>Load sample images for image manipulation.
Loads both, <code class="docutils literal"><span class="pre">china</span></code> and <code class="docutils literal"><span class="pre">flower</span></code>.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>data</strong> : Bunch</p>
<blockquote class="last">
<div><p>Dictionary-like object with the following attributes :
‘images’, the two sample images, ‘filenames’, the file
names for the images, and ‘DESCR’
the full description of the dataset.</p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Examples</p>
<p>To load the data and visualize the images:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <span class="n">load_sample_images</span>
<span class="gp">>>> </span><span class="n">dataset</span> <span class="o">=</span> <span class="n">load_sample_images</span><span class="p">()</span>
<span class="gp">>>> </span><span class="nb">len</span><span class="p">(</span><span class="n">dataset</span><span class="o">.</span><span class="n">images</span><span class="p">)</span>
<span class="go">2</span>
<span class="gp">>>> </span><span class="n">first_img_data</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">images</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="gp">>>> </span><span class="n">first_img_data</span><span class="o">.</span><span class="n">shape</span>
<span class="go">(427, 640, 3)</span>
<span class="gp">>>> </span><span class="n">first_img_data</span><span class="o">.</span><span class="n">dtype</span>
<span class="go">dtype('uint8')</span>
</pre></div>
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