Dataset Versions
v6
2024-09-06 12:12pm
Generated on Sep 6, 2024
42689 Total Images
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Dataset Split
Train Set 94%
40264Images
Valid Set 4%
1614Images
Test Set 2%
811Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 7
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels