test01 Image Dataset

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2024-04-30 11:23am

2024-04-29 12:21am

v9

2024-05-10 4:55pm

Generated on May 10, 2024

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Popular Download Formats

TXT annotations and YAML config used with YOLOv9.

TXT annotations and YAML config used with YOLOv8.

TXT annotations and YAML config used with YOLOv5.

TXT annotations and YAML config used with YOLOv7.

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

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

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

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

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

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

Choose another format.

659 Total Images

View All Images

Annotation Visualization

$326.jpg 002 transverse fracture$ $326.jpg 002 transverse fracture$ $326.jpg 002 transverse fracture$ $326.jpg 002 transverse fracture$ $10711_1.jpg 002 vertical-fracture$ $10711_1.jpg 002 vertical-fracture$ $10711_1.jpg 002 vertical-fracture$ $10711_1.jpg 002 vertical-fracture$

Annotation Visualization

$14416_1.jpg 002 vertical-fracture$ $14416_1.jpg 002 vertical-fracture$

Annotation Visualization

$314.jpg 002 transverse fracture$ $314.jpg 002 transverse fracture$

Annotation Visualization

Annotation Visualization

$068.jpg 002 Reticular-fissures transverse fracture$ $068.jpg 002 Reticular-fissures transverse fracture$

Dataset Split

Train Set 85%

558Images

Valid Set 10%

63Images

Test Set 6%

38Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Grayscale: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Shear: ±10° Horizontal, ±6° Vertical

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