Dataset Versions
v4
2023-11-23 10:10am
Generated on Nov 23, 2023
239 Total Images
View All Images
Dataset Split
Train Set 88%
210Images
Valid Set 8%
19Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 10% size each
Mosaic: Applied
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