Dataset Versions
v2
2024-10-29 1:55pm
Generated on Oct 29, 2024
24 Total Images
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Dataset Split
Train Set 88%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images
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
Saturation: Between -25% and +25%
Blur: Up to 0.7px
Noise: Up to 0.1% of pixels