Dataset Versions
Versions
v1
2024-08-14 4:12am
Generated on Aug 14, 2024
560 Total Images
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Dataset Split
Train Set 92%
516Images
Valid Set 4%
22Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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%
Blur: Up to 0.8px
Noise: Up to 0.93% of pixels