Dataset Versions
v3
2024-11-05 7:42am
Generated on Nov 5, 2024
1374 Total Images
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Dataset Split
Train Set 87%
1200Images
Valid Set 8%
115Images
Test Set 4%
59Images
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
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px