Dataset Versions
Versions
v1
2024-11-30 2:34pm
Generated on Nov 30, 2024
2648 Total Images
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Dataset Split
Train Set 88%
2319Images
Valid Set 6%
165Images
Test Set 6%
164Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 7% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Blur: Up to 1.4px
Noise: Up to 3.98% of pixels