Dataset Versions
v5
2023-09-06 2:55am
Generated on Sep 5, 2023
70 Total Images
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Dataset Split
Train Set 81%
57Images
Valid Set 10%
7Images
Test Set 9%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±31° Horizontal, ±36° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 5% size each
Mosaic: Applied