Dataset Versions
v2
2024-10-10 8:29am
Generated on Oct 10, 2024
617 Total Images
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Dataset Split
Train Set 94%
581Images
Valid Set 4%
24Images
Test Set 2%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Exposure: Between -75% and +75%
Noise: Up to 1.72% of pixels