Dataset Versions
Versions
v1
2024-02-26 2:40pm
Generated on Feb 26, 2024
147 Total Images
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Dataset Split
Train Set 92%
135Images
Valid Set 8%
12Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 8-90% Horizontal Region, 14-76% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±13° Vertical
Exposure: Between -15% and +15%
Noise: Up to 1.64% of pixels