Dataset Versions
v7
2022-07-13 9:48am
Generated on Jul 13, 2022
1569 Total Images
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Dataset Split
Train Set 92%
1449Images
Valid Set 4%
60Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -35% and +35%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each