Dataset Versions
v2
2024-12-26 10:20am
Generated on Dec 26, 2024
3900 Total Images
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Dataset Split
Train Set 92%
3600Images
Valid Set 8%
300Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 384x384
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%