Bone Fracture Detection Fixed

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-10-15 5:15pm

2024-10-15 4:36pm

2024-09-30 4:11pm

Version 1 with augmented images

Original Dataset

v4

2024-10-15 4:36pm

Generated on Oct 15, 2024

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

Choose another format.

4147 Total Images

View All Images

$image1_745_png.jpg fractures-in-bones-HEWx$ $image1_745_png.jpg fractures-in-bones-HEWx$ $image1_741_png.jpg fractures-in-bones-HEWx$ $image1_741_png.jpg fractures-in-bones-HEWx$ $image1_75_png.jpg fractures-in-bones-HEWx$ $image1_75_png.jpg fractures-in-bones-HEWx$ $image1_748_png.jpg fractures-in-bones-HEWx$ $image1_748_png.jpg fractures-in-bones-HEWx$ $image1_786_png.jpg fractures-in-bones-HEWx$ $image1_786_png.jpg fractures-in-bones-HEWx$ $image1_758_png.jpg fractures-in-bones-HEWx$ $image1_758_png.jpg fractures-in-bones-HEWx$ $image1_748_png.jpg fractures-in-bones-HEWx elbow positive$ $image1_748_png.jpg fractures-in-bones-HEWx elbow positive$ $image1_74_png.jpg fractures-in-bones-HEWx$ $image1_74_png.jpg fractures-in-bones-HEWx$ $image1_77_png.jpg fractures-in-bones-HEWx$ $image1_77_png.jpg fractures-in-bones-HEWx$ $image1_750_png.jpg fractures-in-bones-HEWx elbow positive$ $image1_750_png.jpg fractures-in-bones-HEWx elbow positive$ $image1_75_png.jpg fractures-in-bones-HEWx$ $image1_75_png.jpg fractures-in-bones-HEWx$ $image1_752_png.jpg fractures-in-bones-HEWx humerus fracture$ $image1_752_png.jpg fractures-in-bones-HEWx humerus fracture$

Dataset Split

Train Set 88%

3629Images

Valid Set 8%

345Images

Test Set 4%

173Images

Preprocessing

Resize: Fit (black edges) in 1280x1280

Grayscale: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Rotation: Between -45° and +45°

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