Dataset Versions

v12

2024-06-13 4:01am

Generated on Jun 13, 2024

Dataset Split

Train Set 88%
1092Images
Valid Set 8%
104Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
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%
Blur: Up to 2.5px
Noise: Up to 0.26% of pixels

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