The PCB DSLR dataset is meant to facilitate research on computer-vision-based Printed Circuit Board (PCB) analysis, with a focus on recycling-related applications. The dataset contains 748 images of PCBs from a recycling facility, captured under representative conditions using a professional DSLR camera. All images come with accurate PCB segmentation information as well as bounding box information for all Integrated Circuit (IC) chips (9313 samples). Statistics Please refer to [1] for detailed statistics. Camera: Nikon D4 with f/2.8 lens and polarization filter Image resolution: 4928×3280 (about 220 ppi) 165 different PCBs, 3 to 5 images per PCB, 748 images in total 2048 unique labeled ICs, 9313 labeled ICs in total 1740 ICs with label information in total Download The dataset is split into 8 parts. APIs for convenient use from Matlab, Python2, and C++ are available on github. The dataset is freely available for non-commercial research use. Please cite [1] when using the dataset. References [1] C. Pramerdorfer and M. Kampel, “A dataset for computer-vision-based PCB analysis,” 14th IAPR International Conference on Machine Vision Applications (MVA), Tokyo, 2015, pp. 378-381, doi: 10.1109/MVA.2015.7153209. 2015.

{"references": ["C. Pramerdorfer and M. Kampel, \"A dataset for computer-vision-based PCB analysis,\" 14th IAPR International Conference on Machine Vision Applications (MVA), Tokyo, 2015, pp. 378-381, doi: 10.1109/MVA.2015.7153209. 2015."]}