Dataset Versions
v6
2024-08-12 6:28am
Generated on Aug 12, 2024
192 Total Images
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Dataset Split
Train Set 95%
183Images
Valid Set 4%
8Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 2048x2048
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -7° and +7°
Shear: ±8° Horizontal, ±8° Vertical
Grayscale: Apply to 3% of images
Hue: Between -8° and +8°
Saturation: Between -10% and +10%
Brightness: Between -18% and +18%
Exposure: Between -13% and +13%
Blur: Up to 0.7px