Dataset Versions
Versions
v2
2023-08-15 9:32pm
Generated on Aug 15, 2023
935 Total Images
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Dataset Split
Train Set 91%
855Images
Valid Set 5%
51Images
Test Set 3%
29Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Blur: Up to 1.75px
Noise: Up to 5% of pixels