Ouchie Computer Vision Project

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Images

$99.jpg Fractures fracture$ $99.jpg Fractures fracture$ $69.jpg Fractures fracture$ $69.jpg Fractures fracture$ $29.jpg Fractures fracture$ $29.jpg Fractures fracture$ $90.jpg Fractures fracture$ $90.jpg Fractures fracture$ $72.jpg Fractures fracture$ $72.jpg Fractures fracture$ $50.jpg Fractures fracture$ $50.jpg Fractures fracture$ $28.jpg Fractures fracture$ $28.jpg Fractures fracture$ $53.jpg Fractures fracture$ $53.jpg Fractures fracture$ $39.jpg Fractures fracture$ $39.jpg Fractures fracture$ $54.jpg Fractures fracture$ $54.jpg Fractures fracture$ $240.jpg Fractures fracture$ $240.jpg Fractures fracture$ $61.jpg Fractures fracture$ $61.jpg Fractures fracture$

1826 images

Explore Dataset

Hand Fractures

Compiled from various locations

Each individual fracture is marked by a yellow bounding box, tightly cropped around the fracture region.

All images are 96 dpi resolution, try to shrink all 224x224 pixels

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{
                            ouchie_dataset,
                            title = { Ouchie Dataset },
                            type = { Open Source Dataset },
                            author = { Research },
                            howpublished = { \url{ https://universe.roboflow.com/research-pciim/ouchie } },
                            url = { https://universe.roboflow.com/research-pciim/ouchie },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-20 },
                            }