Dataset Versions
Versions
v1
2024-03-29 6:53am
Generated on Mar 29, 2024
696 Total Images
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Dataset Split
Train Set 98%
680Images
Valid Set 2%
16Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Tile: 2 rows x 4 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical