Dataset Versions

v9

v5_1-resized640_aug7x-TrainedFromv8Chkpt

Generated on Mar 13, 2023

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Dataset Split

Train Set 94%
14966Images
Valid Set 4%
588Images
Test Set 2%
320Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Cutout: 7 boxes with 3% size each

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