Dataset Versions
v4
2024-10-05 11:21pm
Generated on Oct 5, 2024
3336 Total Images
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Dataset Split
Train Set 93%
3096Images
Valid Set 6%
200Images
Test Set 1%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±11° Horizontal, ±11° Vertical
Exposure: Between -10% and +10%