Dataset Versions
v7
2022-08-25 11:07pm
Generated on Aug 25, 2022
1300 Total Images
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Dataset Split
Train Set 96%
1248Images
Valid Set 4%
52Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 600x600
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±35° Horizontal, ±7° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels