Dataset Versions
v1
2024-04-25 1:42pm
Generated on Apr 25, 2024
2588 Total Images
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Dataset Split
Train Set 88%
2265Images
Valid Set 8%
215Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Static Crop: 27-73% Horizontal Region, 27-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels