Dataset Versions
v5
2024-08-15 11:14pm
Generated on Aug 15, 2024
1234 Total Images
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Dataset Split
Train Set 97%
1194Images
Valid Set 2%
30Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -29% and +29%
Brightness: Between -17% and +17%
Exposure: Between -12% and +12%
Noise: Up to 0.34% of pixels