Dataset Versions
Versions
v1
2024-08-16 3:50am
Generated on Aug 16, 2024
798 Total Images
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Dataset Split
Train Set 88%
699Images
Valid Set 8%
66Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -23° and +23°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Blur: Up to 1.2px
Noise: Up to 1.05% of pixels