Suranaree university

PCB-defects detection

Object Detection

PCB-defects detection Computer Vision Project

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Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ pcb-defects-detection_dataset,
    title = { PCB-defects detection Dataset },
    type = { Open Source Dataset },
    author = { Suranaree university },
    howpublished = { \url{ https://universe.roboflow.com/suranaree-university-rnlng/pcb-defects-detection } },
    url = { https://universe.roboflow.com/suranaree-university-rnlng/pcb-defects-detection },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-11-29 },
}

Find utilities and guides to help you start using the PCB-defects detection project in your project.

Last Updated

4 months ago

Project Type

Object Detection

Subject

PCB-defects

Classes

missing_hole, mouse_bite, open_circuit, short, spur, spurious_copper

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License

CC BY 4.0