Dataset Versions
Versions
v1
2024-08-02 6:48am
Generated on Aug 2, 2024
1349 Total Images
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Dataset Split
Train Set 83%
1125Images
Valid Set 11%
143Images
Test Set 6%
81Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 1.4px
Noise: Up to 1.76% of pixels