Dataset Versions
v2
2024-09-18 3:42pm
Generated on Sep 18, 2024
1341 Total Images
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Dataset Split
Train Set 87%
1173Images
Valid Set 8%
113Images
Test Set 4%
55Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 17% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0px