Dataset Versions
v4
2023-07-05 11:11pm
Generated on Jul 5, 2023
288 Total Images
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Dataset Split
Train Set 88%
252Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-58% Horizontal Region, 24-68% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
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
Saturation: Between -87% and +87%
Brightness: Between -62% and +62%
Exposure: Between -52% and +52%
Blur: Up to 8.75px
Noise: Up to 25% of pixels