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Bone fracture detection

Object Detection

2.1k images

$image1_1796_png.jpg fracture 0$

$image1_1545_png.jpg fracture 5$

$image1_1813_png.jpg fracture 6$

$image1_2600_png.jpg fracture 0$

$image1_2263_png.jpg fracture 6$

$image1_2157_png.jpg fracture 0$

$image1_1392_png.jpg fracture 1$

$image1_1981_png.jpg fracture 6$

$image1_1588_png.jpg fracture 1$

$image1_1741_png.jpg fracture 0$

$image1_186_png.jpg fracture 1$

$image1_2207_png.jpg fracture 6$

Bone fracture detection Computer Vision Project

MLproject

Updated a year 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

28.1%

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

Precision

50.1%

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

Recall

12.3%

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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{
                            bone-fracture-detection-zehlt_dataset,
                            title = { Bone fracture detection Dataset },
                            type = { Open Source Dataset },
                            author = { MLproject },
                            howpublished = { \url{ https://universe.roboflow.com/mlproject-qmjns/bone-fracture-detection-zehlt } },
                            url = { https://universe.roboflow.com/mlproject-qmjns/bone-fracture-detection-zehlt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2025-03-23 },
                            }