Dataset Versions

v4

2024-09-01 8:53pm

Generated on Sep 1, 2024

Dataset Split

Train Set 91%
585Images
Valid Set 6%
37Images
Test Set 3%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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