Dataset Versions
v2
2024-11-29 1:39pm
Generated on Nov 29, 2024
602 Total Images
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Dataset Split
Train Set 79%
477Images
Valid Set 8%
46Images
Test Set 13%
79Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.69% of pixels