Dataset Versions
v1
2024-02-15 10:25pm
Generated on Feb 15, 2024
1152 Total Images
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Dataset Split
Train Set 88%
1008Images
Valid Set 8%
96Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
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 3px
Noise: Up to 1.76% of pixels
Cutout: 3 boxes with 15% size each