Dataset Versions
v2
2024-09-29 5:55pm
Generated on Sep 29, 2024
59 Total Images
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Dataset Split
Train Set 86%
51Images
Valid Set 8%
5Images
Test Set 5%
3Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Noise: Up to 1.45% of pixels
Cutout: 3 boxes with 10% size each