Dataset Versions
v9
2024-08-18 12:16am
Generated on Aug 18, 2024
3933 Total Images
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Dataset Split
Train Set 88%
3444Images
Valid Set 8%
329Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.99% of pixels