Dataset Versions
v2
2024-11-11 5:14pm
Generated on Nov 11, 2024
13469 Total Images
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Dataset Split
Train Set 97%
12999Images
Valid Set 2%
238Images
Test Set 2%
232Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels