Dataset Versions
v3
2024-08-21 2:21am
Generated on Aug 21, 2024
71 Total Images
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Dataset Split
Train Set 89%
63Images
Valid Set 8%
6Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
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 0.1% of pixels