Dataset Versions
v2
2023-10-28 8:04pm
Generated on Oct 28, 2023
4035 Total Images
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Dataset Split
Train Set 84%
3408Images
Valid Set 7%
282Images
Test Set 9%
345Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels