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Aircraft Damage Detection

Object Detection

3.2k images

Aircraft Damage Detection Computer Vision Project

Youssef Donia

Updated a year ago

1.4k

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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

69.1%

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

Precision

70.1%

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

Recall

65.8%

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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{
                            aircraft-damage-detection-1j9qk_dataset,
                            title = { Aircraft Damage Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Youssef Donia },
                            howpublished = { \url{ https://universe.roboflow.com/youssef-donia-fhktl/aircraft-damage-detection-1j9qk } },
                            url = { https://universe.roboflow.com/youssef-donia-fhktl/aircraft-damage-detection-1j9qk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2025-03-23 },
                            }