Dataset Versions
v1
2023-01-24 2:48pm
Generated on Jan 24, 2023
2322 Total Images
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Dataset Split
Train Set 87%
2031Images
Valid Set 8%
193Images
Test Set 4%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Noise: Up to 5% of pixels