Dataset Versions
Versions
v1
2024-09-28 7:15am
Generated on Sep 28, 2024
460 Total Images
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Dataset Split
Train Set 94%
432Images
Valid Set 5%
23Images
Test Set 1%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%