Dataset Versions
v4
2024-06-24 4:35pm
Generated on Jun 24, 2024
21734 Total Images
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Dataset Split
Train Set 87%
18951Images
Valid Set 9%
1850Images
Test Set 4%
933Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%