Dataset Versions
v2
2022-06-08 6:47pm
Generated on Jun 8, 2022
1136 Total Images
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Dataset Split
Train Set 87%
987Images
Valid Set 9%
100Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -31° and +31°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -99° and +99°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 5px