Dataset Versions
v1
2023-07-09 5:55pm
Generated on Jul 9, 2023
140 Total Images
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Dataset Split
Train Set 86%
120Images
Valid Set 9%
12Images
Test Set 6%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 5 boxes with 10% size each