Dataset Versions
Versions
v1
2023-05-23 2:29pm
Generated on May 23, 2023
2544 Total Images
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Dataset Split
Train Set 76%
1944Images
Valid Set 20%
500Images
Test Set 4%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 244x244
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 1px