PVAnomaly

PV_defect

Object Detection

PV_defect 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{ pv_defect_dataset,
    title = { PV_defect Dataset },
    type = { Open Source Dataset },
    author = { PVAnomaly },
    howpublished = { \url{ https://universe.roboflow.com/pvanomaly/pv_defect } },
    url = { https://universe.roboflow.com/pvanomaly/pv_defect },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-12-04 },
}

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Source

PVAnomaly

Last Updated

2 months ago

Project Type

Object Detection

Subject

defects

Classes

black_core, corner, crack, finger, fragment, horizontal_dislocation, printing_error, scratch, short_circuit, star_crack, thick_line, vertical_dislocation

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License

CC BY 4.0