Dataset Versions
v2
2024-09-21 10:51pm
Generated on Sep 21, 2024
13172 Total Images
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Dataset Split
Train Set 88%
11526Images
Valid Set 8%
1098Images
Test Set 4%
548Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels