Dataset Versions
v1
2024-12-25 7:52pm
Generated on Dec 25, 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 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 1.5% of pixels