Dataset Versions
v2
2023-04-01 12:50pm
Generated on Apr 1, 2023
990 Total Images
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Dataset Split
Train Set 90%
891Images
Valid Set 6%
56Images
Test Set 4%
43Images
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
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%