Dataset Versions
Versions
v1
2023-11-06 4:43pm
Generated on Nov 6, 2023
120 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 9% of pixels