Dataset Versions
Versions
v1
2024-08-31 11:00pm
Generated on Aug 31, 2024
4093 Total Images
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Dataset Split
Train Set 88%
3582Images
Valid Set 8%
341Images
Test Set 4%
170Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels