Dataset Versions
Versions
v1
2024-10-15 11:35am
Generated on Oct 15, 2024
792 Total Images
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Dataset Split
Train Set 88%
693Images
Valid Set 8%
66Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels