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                <front>
                    <journal-meta>
                    <journal-id journal-id-type="publisher-id">cic</journal-id>
                    <journal-title>Color and Imaging Conference</journal-title>
                    <issn pub-type="ppub">2166-9635</issn><issn pub-type="epub">2166-9635</issn>
                    <publisher>
                        <publisher-name>Society for Imaging Science and Technology</publisher-name>
                        <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                    </publisher>
                    </journal-meta>
                    <article-meta>
                    <article-id pub-id-type="doi">10.2352/CIC.2023.31.1.12</article-id>
                    <article-id pub-id-type="publisher-id">12</article-id>
                    <article-categories>
                        <subj-group>
                        <subject>Proceedings Paper</subject>
                        </subj-group>
                    </article-categories>
                    <title-group>
                        <article-title>Metrology-driven Image Synthesis for Quality Control</article-title>
                    </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Reimmer</surname>
                            <given-names>Meldrick  </given-names>
                           </name> <xref ref-type="aff" rid="aff1author1"/></contrib><aff id="aff1author1">Université de Bourgogne, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Chatoux</surname>
                            <given-names>Hermine </given-names>
                           </name> <xref ref-type="aff" rid="aff1author2"/></contrib><aff id="aff1author2">Université de Bourgogne, France</aff></contrib-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                            <surname>Aubreton</surname>
                            <given-names>Olivier </given-names>
                           </name> <xref ref-type="aff" rid="aff1author3"/></contrib><aff id="aff1author3">Université de Bourgogne, France</aff></contrib-group><abstract>
                    <title>Abstract</title>
                    <p>Metrology plays a critical role in the rapid progress of Artificial Intelligence (AI), particularly in computer vision. This article explores the importance of metrology in image synthesis for computer vision tasks, with a particular focus on object detection for quality control. The aim is to improve the accuracy, reliability and quality of AI models. Through the use of precise measurements, standards and calibration techniques, a carefully constructed dataset has been generated and used to train AI models. By incorporating metrology into AI models, we aim at improving their overall performance and robustness.</p>
                    </abstract><pub-date>
                        <day>13</day>
                        <month>11</month>
                        <year>2023</year>
                        </pub-date><volume>31</volume>
                    <issue-acronym>CIC</issue-acronym>
                    <issue-title>31st Color and Imaging Conference</issue-title>
                    <issue seq="12">1</issue>
                    <fpage>61</fpage>
                    <lpage>67</lpage>
                    <permissions>
                         <copyright-statement>©2023 Society for Imaging Science and Technology </copyright-statement>
                        <copyright-year>2023</copyright-year>
                    </permissions><kwd-group><kwd>Metrology</kwd><kwd>Image Synthesis</kwd><kwd>Object Detection</kwd></kwd-group></article-meta>
                </front>
                </article>