Dataset Versions
v2
2023-10-29 3:54pm
Generated on Oct 29, 2023
1620 Total Images
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Dataset Split
Train Set 87%
1416Images
Valid Set 8%
136Images
Test Set 4%
68Images
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 -27° and +27°
Saturation: Between -35% and +35%
Brightness: Between -37% and +37%
Noise: Up to 5% of pixels