Dataset Versions
v4
2024-12-27 9:41pm
Generated on Dec 27, 2024
407 Total Images
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Dataset Split
Train Set 77%
312Images
Valid Set 17%
70Images
Test Set 6%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 1% of pixels