Dataset Versions
v1
2024-02-10 10:31am
Generated on Feb 10, 2024
49428 Total Images
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Dataset Split
Train Set 89%
43758Images
Valid Set 6%
2808Images
Test Set 6%
2862Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 10% of pixels
Cutout: 4 boxes with 20% size each