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    <title>Magnolia - Issue tracker</title>
    <link>https://jira.magnolia-cms.com</link>
    <description>This file is an XML representation of an issue</description>
    <language>en-uk</language>    <build-info>
        <version>9.4.2</version>
        <build-number>940002</build-number>
        <build-date>19-01-2023</build-date>
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<item>
            <title>[IMGREC-40] Train custom neural network for image recognition</title>
                <link>https://jira.magnolia-cms.com/browse/IMGREC-40</link>
                <project id="14982" key="IMGREC">Image Recognition</project>
                    <description>&lt;p&gt;See &lt;a href=&quot;https://jira.magnolia-cms.com/browse/MGNLPER-17&quot; title=&quot;Recognize typical marketing images reliably&quot; class=&quot;issue-link&quot; data-issue-key=&quot;MGNLPER-17&quot;&gt;&lt;del&gt;MGNLPER-17&lt;/del&gt;&lt;/a&gt; for background, user stories and business benefit.&lt;/p&gt;

&lt;p&gt;So far, we&apos;re using a provided model from the dl4j zoo with pre-trained weights for the ImageNet-1000 dataset, which is not a good fit for general-purpose image recognition (see &lt;a href=&quot;https://jira.magnolia-cms.com/browse/MGNLPER-17&quot; title=&quot;Recognize typical marketing images reliably&quot; class=&quot;issue-link&quot; data-issue-key=&quot;MGNLPER-17&quot;&gt;&lt;del&gt;MGNLPER-17&lt;/del&gt;&lt;/a&gt; for details).&lt;/p&gt;

&lt;p&gt;Since there seem to be no pre-trained networks available that are a better fit, we should train our own. However, complete training from scratch should not be necessary; just doing transfer learning by &quot;fine-tuning&quot; an existing pre-trained model should be enough: Only replace the output layer with one that fits our new number of classes, then freeze all other layers and train on e.g. ImageNet data. &lt;a href=&quot;https://deeplearning4j.org/docs/latest/deeplearning4j-nn-transfer-learning&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;Documentation about transfer learning with dl4j&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;TBD: Classes (labels) we want to support&lt;/em&gt;&lt;/p&gt;</description>
                <environment></environment>
        <key id="70859">IMGREC-40</key>
            <summary>Train custom neural network for image recognition</summary>
                <type id="4" iconUrl="https://jira.magnolia-cms.com/secure/viewavatar?size=xsmall&amp;avatarId=10890&amp;avatarType=issuetype">Improvement</type>
                                            <priority id="6" iconUrl="https://jira.magnolia-cms.com/images/icons/priorities/neutral.gif">Neutral</priority>
                        <status id="6" iconUrl="https://jira.magnolia-cms.com/images/icons/statuses/closed.png" description="The issue is considered finished, the resolution is correct. Issues which are not closed can be reopened.">Closed</status>
                    <statusCategory id="3" key="done" colorName="success"/>
                                    <resolution id="11">Done</resolution>
                                        <assignee username="creichenbach">Cedric Reichenbach</assignee>
                                    <reporter username="creichenbach">Cedric Reichenbach</reporter>
                        <labels>
                    </labels>
                <created>Fri, 26 Oct 2018 08:54:31 +0200</created>
                <updated>Thu, 22 Aug 2019 13:37:08 +0200</updated>
                            <resolved>Wed, 9 Jan 2019 07:36:36 +0100</resolved>
                                                                        <due></due>
                            <votes>0</votes>
                                    <watches>3</watches>
                                                                                                                <comments>
                            <comment id="175925" author="ahietala" created="Tue, 11 Dec 2018 10:13:50 +0100"  >&lt;blockquote&gt;&lt;p&gt;&lt;em&gt;TBD: Classes (labels) we want to support&lt;/em&gt;&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;I propose &lt;a href=&quot;http://example.com/&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;Core Wordnet 5000&lt;/a&gt;, see &lt;a href=&quot;https://jira.magnolia-cms.com/browse/MGNLPER-17&quot; title=&quot;Recognize typical marketing images reliably&quot; class=&quot;issue-link&quot; data-issue-key=&quot;MGNLPER-17&quot;&gt;&lt;del&gt;MGNLPER-17&lt;/del&gt;&lt;/a&gt;. It&apos;s a list of 5000 most frequently used English language words, of which 3000 are nouns (we should exclude the adjectives and verbs).&#160;Download:&#160;&lt;a href=&quot;http://wordnetcode.princeton.edu/standoff-files/core-wordnet.txt&quot; class=&quot;external-link&quot; target=&quot;_blank&quot; rel=&quot;nofollow noopener&quot;&gt;http://wordnetcode.princeton.edu/standoff-files/core-wordnet.txt&lt;/a&gt;&lt;/p&gt;</comment>
                            <comment id="175928" author="creichenbach" created="Tue, 11 Dec 2018 10:43:13 +0100"  >&lt;p&gt;&lt;a href=&quot;https://jira.magnolia-cms.com/secure/ViewProfile.jspa?name=ahietala&quot; class=&quot;user-hover&quot; rel=&quot;ahietala&quot;&gt;ahietala&lt;/a&gt; sounds like a good idea. However, there are a couple potential issues:&lt;/p&gt;


&lt;ul&gt;
	&lt;li&gt;Some terms are not supported by ImageNet, sometimes it doesn&apos;t even make sense because there&apos;s no typical depiction for a given noun, e.g. &quot;truth&quot;.&lt;/li&gt;
	&lt;li&gt;There might not be enough data in ImageNet for some of the supported synsets (synonym set, representing a &quot;thing&quot;). I would say as a rule of thumb, we should have at least 100 images per synset to have useful results.&lt;/li&gt;
	&lt;li&gt;Some words match multiple synsets, e.g. &quot;band&quot; might refer to a stripe, or a music group. The question is then how we should do the tagging there. The approach I&apos;ve started taking so far is to find the first synset supported by ImageNet and only use that one. However, we could also say we train for &lt;em&gt;all&lt;/em&gt; supported synsets of a word and just always apply the same tag.&lt;/li&gt;
&lt;/ul&gt;
</comment>
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                                                        <span>Doc/release notes changes? Comment present?</span>

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                                                        <span>Downstream builds green?</span>

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                        </span>
                                        <div style="cursor: default; text-align: left; flex-grow: 1; padding-right: 3px; margin-top: 2px;">
                                                
                                                
                                                <span >
                                                        <span>Solution information and context easily available?</span>

                        </span>
                    </div>
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                                    </div>
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                        </span>
                                        <div style="cursor: default; text-align: left; flex-grow: 1; padding-right: 3px; margin-top: 2px;">
                                                
                                                
                                                <span >
                                                        <span><strong>Tests</strong></span>

                        </span>
                    </div>
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                                    </div>
                                                <div style="display: flex; align-items: flex-start; padding: 0; margin-left: 12px; float: none; font-size: 14px;">
                                                                <span style="padding-right: 5px; align-self: flex-start;">
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                        </span>
                                        <div style="cursor: default; text-align: left; flex-grow: 1; padding-right: 3px; margin-top: 2px;">
                                                
                                                
                                                <span >
                                                        <span><strong>FixVersion</strong> filled and not yet released</span>

                        </span>
                    </div>
                                                                    <span style="padding-right: 1px; white-space: nowrap;">
                                                        
                                                        
                                                                                </span>
                                    </div>
                                                <div style="display: flex; align-items: flex-start; padding: 0; margin-left: 12px; float: none; font-size: 14px;">
                                                                <span style="padding-right: 5px; align-self: flex-start;">
                                <svg width="22" height="22" viewBox="0 0 22 22" fill="none" xmlns="http://www.w3.org/2000/svg" class="unchecked"><rect fill="#EFF4FB" height="17.5" rx="2.5" stroke="#ADBBD0" width="18" x="0.44141" y="3.94141"/></svg>
                        </span>
                                        <div style="cursor: default; text-align: left; flex-grow: 1; padding-right: 3px; margin-top: 2px;">
                                                
                                                
                                                <span >
                                                        <span>Architecture Decision Record (<strong>ADR</strong>)</span>

                        </span>
                    </div>
                                                                    <span style="padding-right: 1px; white-space: nowrap;">
                                                        
                                                        
                                                                                </span>
                                    </div>
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