Dataset Versions
v4
2024-06-28 7:10am
Generated on Jun 28, 2024
1052 Total Images
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Dataset Split
Train Set 96%
1005Images
Valid Set 3%
31Images
Test Set 2%
16Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px