Dataset Versions
v8
2024-04-22 4:44pm
Generated on Apr 22, 2024
10912 Total Images
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Dataset Split
Train Set 85%
9318Images
Valid Set 10%
1124Images
Test Set 4%
470Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive 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 15% of images
Blur: Up to 2.5px
Noise: Up to 1.99% of pixels