Dataset Versions
v5
2024-03-18 11:56pm
Generated on Mar 18, 2024
9694 Total Images
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Dataset Split
Train Set 93%
8967Images
Valid Set 6%
616Images
Test Set 1%
111Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 3.03% of pixels