Dataset Versions
v1
2022-04-27 3:43pm
Generated on Apr 27, 2022
1491 Total Images
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Dataset Split
Train Set 87%
1290Images
Valid Set 9%
139Images
Test Set 4%
62Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±12° Horizontal, ±24° Vertical
Saturation: Between -23% and +23%
Brightness: Between -23% and +23%
Blur: Up to 1.5px
Noise: Up to 5% of pixels