Dataset Versions
Versions
v1
2024-09-28 6-19am
Generated on Sep 28, 2024
751 Total Images
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Dataset Split
Train Set 81%
612Images
Valid Set 9%
70Images
Test Set 9%
69Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Noise: Up to 1.45% of pixels