Dataset Versions
Versions
v1
2024-09-03 2:16pm
Generated on Sep 3, 2024
6780 Total Images
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Dataset Split
Train Set 96%
6516Images
Valid Set 2%
159Images
Test Set 2%
105Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
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 2.5px
Noise: Up to 1.68% of pixels