Dataset Versions
v3
2024-01-17 12:37am
Generated on Jan 16, 2024
1250 Total Images
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Dataset Split
Train Set 92%
1155Images
Valid Set 4%
45Images
Test Set 4%
50Images
Preprocessing
Resize: Stretch to 384x384
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%