Dataset Versions
Versions
v1
2024-07-11 6:48pm
Generated on Jul 11, 2024
5643 Total Images
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Dataset Split
Train Set 97%
5487Images
Valid Set 2%
126Images
Test Set 1%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1% of pixels