Dataset Versions
v2
2024-12-02 7:55pm
Generated on Dec 2, 2024
150 Total Images
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Dataset Split
Train Set 88%
132Images
Valid Set 8%
12Images
Test Set 4%
6Images
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
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels