Dataset Versions
Versions
v1
2024-08-12 7:46am
Generated on Aug 12, 2024
989 Total Images
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Dataset Split
Train Set 88%
867Images
Valid Set 8%
80Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 2px
Noise: Up to 0.54% of pixels