Dataset Versions
Versions
v1
2023-07-08 6:58pm
Generated on Jul 8, 2023
95 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 8%
8Images
Test Set 3%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 2 remapped, 0 dropped
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
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Cutout: 5 boxes with 17% size each