Dataset Versions
Versions
v1
2024-12-11 10:43am
Generated on Dec 11, 2024
469 Total Images
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Dataset Split
Train Set 88%
411Images
Valid Set 8%
39Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Upside Down
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -27% and +27%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels