Dataset Versions

v4

2024-06-19 6:56am

Generated on Jun 19, 2024

Dataset Split

Train Set 92%
795Images
Valid Set 5%
44Images
Test Set 3%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 10% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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