Dataset Versions
v2
2023-07-06 3:35pm
Generated on Jul 6, 2023
371 Total Images
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Dataset Split
Train Set 94%
350Images
Valid Set 4%
14Images
Test Set 2%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Rotation: Between -45° and +45°
Shear: ±9° Horizontal, ±9° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels