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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><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 notranslate"><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="py function">
<dt id="sklearn.datasets.load_sample_images">
<code class="sig-prename descclassname">sklearn.datasets.</code><code class="sig-name 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/23d876161/sklearn/datasets/_base.py#L1044"><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.</p>
<p>Loads both, <code class="docutils literal notranslate"><span class="pre">china</span></code> and <code class="docutils literal notranslate"><span class="pre">flower</span></code>.</p>
<p>Read more in the <a class="reference internal" href="../../datasets/loading_other_datasets.html#sample-images"><span class="std std-ref">User Guide</span></a>.</p>
<dl class="field-list">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><dl>
<dt><strong>data</strong><span class="classifier"><a class="reference internal" href="sklearn.utils.Bunch.html#sklearn.utils.Bunch" title="sklearn.utils.Bunch"><code class="xref py py-class docutils literal notranslate"><span class="pre">Bunch</span></code></a></span></dt><dd><p>Dictionary-like object, with the following attributes.</p>
<dl class="simple">
<dt>images<span class="classifier">list of ndarray of shape (427, 640, 3)</span></dt><dd><p>The two sample image.</p>
</dd>
<dt>filenames<span class="classifier">list</span></dt><dd><p>The filenames for the images.</p>
</dd>
<dt>DESCR<span class="classifier">str</span></dt><dd><p>The full description of the dataset.</p>
</dd>
</dl>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Examples</p>
<p>To load the data and visualize the images:</p>
<div class="doctest highlight-default notranslate"><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>
</div>
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