Dataset Versions
v1
2024-01-24 11:37am
Generated on Jan 24, 2024
846 Total Images
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Dataset Split
Train Set 88%
741Images
Valid Set 8%
69Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -16° and +16°
Shear: ±14° Horizontal, ±16° Vertical
Grayscale: Apply to 100% of images
Hue: Between -120° and +120°
Brightness: Between -68% and +68%
Blur: Up to 3.3px
Noise: Up to 4.77% of pixels