Dataset Versions

v3

2024-09-08 6:29am

Generated on Sep 8, 2024

Dataset Split

Train Set 87%
2295Images
Valid Set 9%
226Images
Test Set 4%
109Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each

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