Dataset Versions
Versions
v6
2024-12-24 3:26pm
Generated on Dec 24, 2024
10 Total Images
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Dataset Split
Train Set 60%
6Images
Valid Set 20%
2Images
Test Set 20%
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
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels