Dataset Versions
Versions
v1
2023-11-01 5:16pm
Generated on Nov 1, 2023
4342 Total Images
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Dataset Split
Train Set 88%
3804Images
Valid Set 8%
359Images
Test Set 4%
179Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels