Dataset Versions
v2
2024-08-11 1:00pm
Generated on Aug 11, 2024
3134 Total Images
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Dataset Split
Train Set 87%
2742Images
Valid Set 8%
261Images
Test Set 4%
131Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels