Tembakau Classification Dataset
Versions
v1
2024-06-01 10:55pm
Generated on Jun 1, 2024
966 Total Images
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Dataset Split
Train Set 88%
846Images
Valid Set 9%
90Images
Test Set 3%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±12° Vertical
Brightness: Between -19% and +19%
Blur: Up to 1.9px
Noise: Up to 1.33% of pixels