Dataset Versions
v2
2024-04-09 8:30pm
Generated on Apr 9, 2024
48 Total Images
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Dataset Split
Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±3° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%