Dataset Versions
v2
2024-05-27 3:44pm
Generated on May 27, 2024
1507 Total Images
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Dataset Split
Train Set 88%
1320Images
Valid Set 8%
125Images
Test Set 4%
62Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.6% of pixels