Dataset Versions
v3
2024-10-31 2:01am
Generated on Oct 31, 2024
500 Total Images
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Dataset Split
Train Set 87%
435Images
Valid Set 9%
43Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels