Dataset Versions
v2
Ver_2
Generated on Nov 15, 2023
704 Total Images
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Dataset Split
Train Set 86%
606Images
Valid Set 7%
48Images
Test Set 7%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 5% size each