Dataset Versions
v1
2024-10-17 6:49am
Generated on Oct 17, 2024
134 Total Images
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Dataset Split
Train Set 87%
117Images
Valid Set 8%
11Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -46° and +46°
Saturation: Between -31% and +31%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.61% of pixels