Dataset Open Access
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).
Please refer to  for detailed statistics.
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  when using the dataset.
 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.
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.