Dataset Versions
v1
2023-09-25 5:45pm
Generated on Sep 25, 2023
445 Total Images
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Dataset Split
Train Set 88%
390Images
Valid Set 8%
37Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
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
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels