Dataset Versions
v2
2023-12-22 3:48pm
Generated on Dec 22, 2023
146 Total Images
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Dataset Split
Train Set 88%
129Images
Valid Set 8%
12Images
Test Set 3%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±3° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each