Dataset Versions
Versions
v1
2024-03-13 2:06am
Generated on Mar 12, 2024
21085 Total Images
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Dataset Split
Train Set 88%
18450Images
Valid Set 8%
1757Images
Test Set 4%
878Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±14° Vertical
Hue: Between -17° and +17°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 1.37% of pixels