Dataset Versions
Versions
v1
2024-03-22 1:53pm
Generated on Mar 22, 2024
2148 Total Images
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Dataset Split
Train Set 79%
1689Images
Valid Set 7%
140Images
Test Set 15%
319Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%