Dataset Versions
v4
2024-07-01 4:54pm
Generated on Jul 1, 2024
684 Total Images
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Dataset Split
Train Set 88%
600Images
Valid Set 8%
56Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 1px