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v4

2024-10-18 4:42pm

Generated on Oct 18, 2024

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2665 Total Images

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Dataset Split

Train Set 87%

2322Images

Valid Set 11%

305Images

Test Set 1%

38Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Shear: ±13° Horizontal, ±13° Vertical

Grayscale: Apply to 15% of images

Hue: Between -90° and +90°

Saturation: Between -25% and +25%

Brightness: Between 0% and +15%

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