Dataset Versions
v1
2024-03-01 1:27pm
Generated on Mar 1, 2024
408 Total Images
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Dataset Split
Train Set 88%
357Images
Valid Set 8%
34Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -3° and +3°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 0.4% of pixels