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kidney stone detection by labeling

Object Detection

Dataset Versions

Try Pre-Trained Model

v39

2023-06-24 10:38pm

Generated on Jun 24, 2023

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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.

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3889 Total Images

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Dataset Split

Train Set 92%

3579Images

Valid Set 4%

158Images

Test Set 4%

152Images

Preprocessing

Auto-Orient: Applied

Static Crop: 15-78% Horizontal Region, 14-88% Vertical Region

Resize: Stretch to 150x150

Grayscale: Applied

Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3

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

Grayscale: Apply to 100% of images

Bounding Box: Rotation: Between -45° and +45°

Bounding Box: Shear: ±45° Horizontal, ±45° Vertical

Bounding Box: Exposure: Between -50% and +50%

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