Dataset Versions
v2
2024-10-28 9:50am
Generated on Oct 28, 2024
328 Total Images
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Dataset Split
Train Set 88%
288Images
Valid Set 8%
27Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels