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---
title: Image Data Labeler
keywords: fastai
sidebar: home_sidebar
summary: "labeling image data"
---
<!--
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# file to edit: nbs/20_Image_Labeler.ipynb
# command to build the docs after a change: nbdev_build_docs
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<div class="container" id="notebook-container">
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<h2 id="Dataset-for-testing">Dataset for testing<a class="anchor-link" href="#Dataset-for-testing">¶</a></h2>
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<p>For contributer of this library, you can use the default testing images in ../test/img, or you can uncomment the following and download more data you like</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># !pip install -q jmd_imagescraper</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># from jmd_imagescraper.core import duckduckgo_search, ImgSize</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># duckduckgo_search("../test/img", "Nature", "nature", max_results=20)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>du -sh ../test
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<pre>996K ../test
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<h2 id="Labeler">Labeler<a class="anchor-link" href="#Labeler">¶</a></h2>
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<h2 id="ImageLabeler" class="doc_header"><code>class</code> <code>ImageLabeler</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/turk/image.py#L24" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>ImageLabeler</code>(<strong><code>image_folder</code></strong>:<code>Path</code>, <strong><code>formats</code></strong>:<code>List</code>[<code>str</code>]=<em><code>['jpg', 'jpeg', 'png', 'bmp']</code></em>)</p>
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<h2 id="SingleClassImageLabeler" class="doc_header"><code>class</code> <code>SingleClassImageLabeler</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/turk/image.py#L268" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>SingleClassImageLabeler</code>(<strong><code>image_folder</code></strong>:<code>Path</code>) :: <code>ImageLabeler</code></p>
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<h2 id="MultiClassImageLabeler" class="doc_header"><code>class</code> <code>MultiClassImageLabeler</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/turk/image.py#L313" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>MultiClassImageLabeler</code>(<strong><code>image_folder</code></strong>:<code>Path</code>) :: <code>ImageLabeler</code></p>
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<h2 id="Try-labeler">Try labeler<a class="anchor-link" href="#Try-labeler">¶</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">slabel</span> <span class="o">=</span> <span class="n">SingleClassImageLabeler</span><span class="p">(</span><span class="s2">"../test"</span><span class="p">)</span>
<span class="n">slabel</span>
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<pre>load from progress ../test/unpackai_single.json
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<pre>SingleClassImageLabeler on [../test(20)], see labeler.image_df</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">slabel</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">slabel</span><span class="o">.</span><span class="n">progress</span><span class="p">[</span><span class="s2">"data"</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlabel</span> <span class="o">=</span> <span class="n">MultiClassImageLabeler</span><span class="p">(</span><span class="s2">"../test"</span><span class="p">)</span>
<span class="n">mlabel</span>
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<pre>load from progress ../test/unpackai_multi.json
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<pre>MultiClassImageLabeler on [../test(20)], see labeler.image_df</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlabel</span><span class="p">(</span><span class="n">labels</span><span class="o">=</span><span class="p">[</span><span class="s2">"spring"</span><span class="p">,</span> <span class="s2">"summer"</span><span class="p">,</span> <span class="s2">"autumn"</span><span class="p">,</span> <span class="s2">"winter"</span><span class="p">])</span>
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<h4>press Command(mac) or Ctrl(win/linux) to select multiple</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_y</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_y</span> <span class="o">=</span> <span class="n">slabel</span><span class="o">.</span><span class="n">get_y</span>
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<h3 id="Multicategorical-label">Multicategorical label<a class="anchor-link" href="#Multicategorical-label">¶</a></h3>
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<h4 id="Create-gey_y-from-a-running-MultiClassImageLabeler">Create gey_y from a running MultiClassImageLabeler<a class="anchor-link" href="#Create-gey_y-from-a-running-MultiClassImageLabeler">¶</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlabel</span><span class="o">.</span><span class="n">get_y</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">Path</span><span class="p">(</span><span class="s1">'../test/img/Nature/007_9554a747.jpg'</span><span class="p">)</span><span class="o">.</span><span class="n">resolve</span><span class="p">()))</span>
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<pre>Creating dataset with 16 labels
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<pre>['autumn', 'winter']</pre>
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<p>Look at the data progress</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlabel</span><span class="o">.</span><span class="n">progress</span><span class="p">[</span><span class="s2">"data"</span><span class="p">]</span>
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<h4 id="Create-a-get_y-function-from-csv-file">Create a get_y function from csv file<a class="anchor-link" href="#Create-a-get_y-function-from-csv-file">¶</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_y</span> <span class="o">=</span> <span class="n">MultiClassImageLabeler</span><span class="o">.</span><span class="n">gety_from_csv</span><span class="p">(</span><span class="s2">"./progress.csv"</span><span class="p">)</span>
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<pre>All possible labels: ['summer', 'spring', 'winter', 'autumn']
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<p>Create a get_y function from external csv file, please pass in name of the image path column and label column</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_y</span> <span class="o">=</span> <span class="n">MultiClassImageLabeler</span><span class="o">.</span><span class="n">gety_from_csv</span><span class="p">(</span><span class="s2">"./progress.csv"</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s2">"image_path"</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">"pepper_types"</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">get_y</span><span class="p">(</span><span class="s1">'../test/img/Nature/004_26fb347c.jpg'</span><span class="p">)</span>
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<pre>['summer', 'autumn']</pre>
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<p>how we label multi categorical?</p>
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<li>please do it as following</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">"./progress.csv"</span><span class="p">)[</span><span class="s2">"label"</span><span class="p">]</span>
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<pre>0 autumn,winter
1 spring,summer
2 spring,summer,autumn
3 summer,autumn
4 spring,winter
5 spring,summer
6 spring,summer
7 summer,autumn,winter
8 spring,summer,autumn
9 spring
10 NaN
11 NaN
12 spring
13 summer,autumn
14 spring
15 summer
Name: label, dtype: object</pre>
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