Dataset Versions
Versions
v1
2023-07-25 2:48pm
Generated on Jul 25, 2023
607 Total Images
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Dataset Split
Train Set 87%
531Images
Valid Set 8%
51Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -35° and +35°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels