Dataset Versions
v4
2024-04-21 1:12pm
Generated on Apr 21, 2024
730 Total Images
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Dataset Split
Train Set 88%
639Images
Valid Set 8%
62Images
Test Set 4%
29Images
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, 21% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -13% and +13%
Blur: Up to 1.3px
Noise: Up to 0.61% of pixels