Dataset Versions
v2
2024-11-21 11:17am
Generated on Nov 21, 2024
983 Total Images
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Dataset Split
Train Set 87%
860Images
Valid Set 8%
82Images
Test Set 4%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 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°