Dataset Versions

v1

2024-12-17 4:40pm

Generated on Dec 17, 2024

Dataset Split

Train Set 94%
9054Images
Valid Set 4%
357Images
Test Set 2%
191Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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