Dataset Versions
Versions
v1
2023-12-08 4:25pm
Generated on Dec 8, 2023
209 Total Images
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Dataset Split
Train Set 88%
183Images
Valid Set 8%
17Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 5% of pixels