Dataset Versions
v2
2024-04-26 9:47am
Generated on Apr 26, 2024
555 Total Images
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Dataset Split
Train Set 95%
525Images
Valid Set 4%
20Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between 0% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels