Dataset Versions
Versions
v3
2024-04-18 10:04pm
Generated on Apr 18, 2024
149 Total Images
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Dataset Split
Train Set 36%
54Images
Valid Set 64%
95Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels