Dataset Versions
v2
2023-01-29 7:50pm
Generated on Jan 29, 2023
9644 Total Images
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Dataset Split
Train Set 87%
8436Images
Valid Set 8%
808Images
Test Set 4%
400Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -27° and +27°
Brightness: Between -25% and +25%