Dataset Versions
Versions
v1
2024-12-12 3:03pm
Generated on Dec 12, 2024
354 Total Images
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Dataset Split
Train Set 88%
312Images
Valid Set 9%
31Images
Test Set 3%
11Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 20-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 1.64% of pixels