Dataset Versions
v1
2024-12-09 10:44pm
Generated on Dec 9, 2024
387 Total Images
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Dataset Split
Train Set 90%
348Images
Valid Set 10%
39Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px