Dataset Versions
v1
2023-03-01 3:16pm
Generated on Mar 1, 2023
508 Total Images
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Dataset Split
Train Set 94%
480Images
Valid Set 4%
18Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied