Dataset Versions
Versions
v1
2022-04-14 2:13pm
Generated on Apr 14, 2022
295 Total Images
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Dataset Split
Train Set 87%
258Images
Valid Set 8%
25Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±8° Horizontal, ±11° Vertical
Saturation: Between -25% and +25%
Brightness: Between -13% and +13%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Mosaic: Applied