Dataset Versions
v2
2024-06-20 12:06pm
Generated on Jun 20, 2024
840 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels