Dataset Versions
v3
2024-10-11 6:38am
Generated on Oct 11, 2024
422 Total Images
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Dataset Split
Train Set 97%
408Images
Valid Set 3%
12Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -21° and +21°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.84% of pixels