Dataset Versions
v2
2024-10-14 6:32am
Generated on Oct 14, 2024
2359 Total Images
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Dataset Split
Train Set 90%
2130Images
Valid Set 6%
153Images
Test Set 3%
76Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.14% of pixels