FICS PCB IMAGE COLLECTION (FPIC)
| Description | The FPIC dataset was introduced to meet the growing demand for labeled ground truth data in outsourced PCB manufacturing and hardware assurance. It provides 261 high-resolution images of 93 PCBs (front and back), with over 71,000 annotated instances, including text and mounted components. PCB samples are sourced from hard drive controllers, servers, audio amplifiers, and more—making it ideal for training and evaluating ML-based AOI (Automated Optical Inspection) and hardware security research. |
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| Downloads | Download FPIC Dataset |
| Citations |
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Select Files to Download
📁 color_checker.zip 📁 metadata.zip 📁 ocr_annotation.zip 📁 pcb_image.zip 📁 smd_annotation.zip 📁 vtp_annotation.zip
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Citation Formats
| Text Format | BibTeX |
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| Nathan Jessurun, Olivia P. Dizon-Paradis, Jacob Harrison, Shajib Ghosh, Mark M. Tehranipoor, Damon L. Woodard, and Navid Asadizanjani. 2023. FPIC: A Novel Semantic Dataset for Optical PCB Assurance. J. Emerg. Technol. Comput. Syst. 19, 2, Article 17 (April 2023), 21 pages. | @article{10.1145/3588032, author = {Jessurun, Nathan and Dizon-Paradis, Olivia P. and Harrison, Jacob and Ghosh, Shajib and Tehranipoor, Mark M. and Woodard, Damon L. and Asadizanjani, Navid}, title = {FPIC: A Novel Semantic Dataset for Optical PCB Assurance}, journal = {J. Emerg. Technol. Comput. Syst.}, volume = {19}, number = {2}, articleno = {17}, year = {2023}, month = may, numpages = {21}, doi = {10.1145/3588032}, url = {https://doi.org/10.1145/3588032}, keywords = {hardware assurance, dataset, Automated optical inspection, semantic segmentation, PCB} } |