Dataset Versions
v4
2024-04-03 5:14pm
Generated on Apr 3, 2024
894 Total Images
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Dataset Split
Train Set 95%
846Images
Valid Set 2%
18Images
Test Set 3%
30Images
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, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%