Dataset Versions
Versions
v1
2024-09-20 4:53am
Generated on Sep 20, 2024
17384 Total Images
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Dataset Split
Train Set 87%
15207Images
Valid Set 8%
1450Images
Test Set 4%
727Images
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 -13° and +13°
Shear: ±11° Horizontal, ±13° Vertical
Saturation: Between -28% and +28%
Blur: Up to 1px