Dataset Versions
Versions
v1
2024-10-01 9:21am
Generated on Oct 1, 2024
5262 Total Images
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Dataset Split
Train Set 85%
4491Images
Valid Set 13%
701Images
Test Set 1%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels