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SOLAR PANEL DAMAGE CLASSIFICATE

Object Detection

761 images

SOLAR PANEL DAMAGE CLASSIFICATE Computer Vision Project

SOLAR PANEL DAMAGE CLASSIFICATION

Updated 10 months ago

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Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

44.7%

Precision measures how often your model's predictions are correct. Learn more

Precision

49.0%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

47.1%

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LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            solar-panel-damage-classificate_dataset,
                            title = { SOLAR PANEL DAMAGE CLASSIFICATE Dataset },
                            type = { Open Source Dataset },
                            author = { SOLAR PANEL DAMAGE CLASSIFICATION },
                            howpublished = { \url{ https://universe.roboflow.com/solar-panel-damage-classification-d0wua/solar-panel-damage-classificate } },
                            url = { https://universe.roboflow.com/solar-panel-damage-classification-d0wua/solar-panel-damage-classificate },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2025-03-21 },
                            }