Dataset Versions
v1
2024-03-03 6:26pm
Generated on Mar 3, 2024
984 Total Images
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Dataset Split
Train Set 91%
900Images
Valid Set 8%
76Images
Test Set 1%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels