Dataset Versions
v1
2023-11-22 11:33pm
Generated on Nov 22, 2023
112 Total Images
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Dataset Split
Train Set 96%
108Images
Valid Set 4%
4Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 38-75% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels