Dataset Versions
v6
2024-09-30 4:42pm
Generated on Sep 30, 2024
8283 Total Images
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Dataset Split
Train Set 88%
7263Images
Valid Set 8%
675Images
Test Set 4%
345Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Brightness: Between -5% and +5%
Blur: Up to 1.1px
Noise: Up to 1.53% of pixels