Dataset Versions
v5
2023-09-13 6:21pm
Generated on Sep 13, 2023
3359 Total Images
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Dataset Split
Train Set 83%
2799Images
Valid Set 12%
407Images
Test Set 5%
153Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Modify Classes: 5 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 20% size each