Dataset Versions
Versions
v1
2024-11-09 4:54pm
Generated on Nov 9, 2024
8810 Total Images
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Dataset Split
Train Set 82%
7212Images
Valid Set 14%
1196Images
Test Set 5%
402Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels