Abrar PV Defects Detection

PV Defects Detection

Object Detection

PV 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{ pv-defects-detection-mftru_dataset,
    title = { PV Defects Detection Dataset },
    type = { Open Source Dataset },
    author = { Abrar PV Defects Detection },
    howpublished = { \url{ https://universe.roboflow.com/abrar-pv-defects-detection/pv-defects-detection-mftru } },
    url = { https://universe.roboflow.com/abrar-pv-defects-detection/pv-defects-detection-mftru },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-12-10 },
}

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Last Updated

2 months ago

Project Type

Object Detection

Subject

PV-Defects-Detection

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