{"id":591,"date":"2024-01-16T17:39:58","date_gmt":"2024-01-16T17:39:58","guid":{"rendered":"https:\/\/physicaldb.ece.ufl.edu\/?page_id=591"},"modified":"2025-09-28T16:52:18","modified_gmt":"2025-09-28T16:52:18","slug":"pcb-x-ray-ct-ground-truth-dataset","status":"publish","type":"page","link":"https:\/\/physicaldb.ece.ufl.edu\/index.php\/pcb-x-ray-ct-ground-truth-dataset\/","title":{"rendered":"PCB X-ray CT Ground Truth Dataset"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"591\" class=\"elementor elementor-591\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f7d0fde e-flex e-con-boxed e-con e-parent\" data-id=\"f7d0fde\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-262d9c1 elementor-widget__width-initial elementor-widget elementor-widget-html\" 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}\r\n    <\/style>\r\n<\/head>\r\n\r\n<body>\r\n    <h1>PCB X-ray CT Ground Truth<\/h1>\r\n\r\n    <table>\r\n        <tr>\r\n            <th>Description<\/th>\r\n            <td>The \"PCB X-ray CT Ground Truth Dataset\" in the document is a unique and valuable resource for the development and \r\n                testing of automated inspection systems for printed circuit boards (PCBs). It provides comprehensive ground truth \r\n                data for PCBs, enabling researchers and developers to validate and improve their image processing and machine \r\n                learning algorithms for PCB inspection. This dataset is especially useful for advancing the capabilities of automated \r\n                X-ray inspection systems, ensuring more accurate and reliable detection of defects and inconsistencies in PCBs.\r\n                It includes Tiff files of manually segmented PCB copper layers and other elements, and CSV files with semantically \r\n                labeled vertices of these features. The dataset supports the development and testing of algorithms for \r\n                segmenting X-ray raw data to extract PCB netlists.<\/td>\r\n        <\/tr>\r\n        <tr>\r\n            <th>Downloads<\/th>\r\n            <td><a href=\"#\" id=\"downloadLink\">PCB X-ray CT Ground Truth<\/a><\/td>\r\n        <\/tr>\r\n        <tr>\r\n            <th>Citations<\/th>\r\n            <td>\r\n                <!-- Citation Button -->\r\n                <button id=\"citeBtn\"><b>Cite This<\/b><\/button>\r\n                <a href=\"https:\/\/eprint.iacr.org\/2022\/924\"\r\n                    target=\"_blank\">\r\n                    <button class=\"paperBtn\">Paper<\/button>\r\n                <\/a>\r\n                <!-- Citation Popup -->\r\n                <div id=\"citeModal\" class=\"cite-popup-background\">\r\n                    <div class=\"cite-popup-box\">\r\n                        <span class=\"cite-close-button\">&times;<\/span>\r\n                        <h2>Citation Formats<\/h2>\r\n                        <table class=\"citation-table\">\r\n                            <!-- Table Headings -->\r\n                            <tr>\r\n                                <th>Text Format<\/th>\r\n                                <th>BibTeX<\/th>\r\n                            <\/tr>\r\n                            <!-- Table Body with citation content -->\r\n                            <tr>\r\n                                <td id=\"textCitation\">\r\n                                    D. Mehta, J. True, O. P. Dizon-Paradis, N. Jessurun, D. L. Woodard, N. Asadizanjani, and M. Tehranipoor,<a> \u201cFICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection,\u201d<\/a> Cryptology ePrint Archive, 01-Jan-1970.  [Online]. Available: https:\/\/eprint.iacr.org\/2022\/924. [Accessed: 05-Jan-2024]\r\n                                <\/td>        \r\n                                <td id=\"bibtexCitation\">\r\n                                    @misc{cryptoeprint:2022\/924,\r\n                                        author = {Dhwani Mehta and John True and Olivia P. Dizon-Paradis and Nathan Jessurun and Damon L. Woodard and Navid Asadizanjani and Mark Tehranipoor},\r\n                                        title = {FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection},\r\n                                        howpublished = {Cryptology ePrint Archive, Paper 2022\/924},\r\n                                        year = {2022},\r\n                                        note = {\\url{https:\/\/eprint.iacr.org\/2022\/924}},\r\n                                        url = {https:\/\/eprint.iacr.org\/2022\/924}\r\n                                        }\r\n                                <\/td>\r\n                            <\/tr>\r\n                        <\/table>\r\n                        <!-- Action Buttons for copying and downloading citations -->\r\n                        <div class=\"cite-action-buttons\">\r\n                            <button class=\"cite-action-button\" onclick=\"copyCitation('text')\">Copy Text Format<\/button>\r\n               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