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.
- 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
The dataset is split into 8 parts: 1, 2, 3, 4, 5, 6, 7, 8. 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”, Machine Vision Applications (to appear), 2015