Dataset Versions
Versions
v1
Basic Augmentation
Generated on Feb 25, 2023
1021 Total Images
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Dataset Split
Train Set 88%
894Images
Valid Set 8%
83Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between 0% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels