Dataset Versions
Versions
v1
2024-11-20 8:44pm
Generated on Nov 20, 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, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%