Dataset Versions
Versions
v1
2024-12-10 11:20am
Generated on Dec 10, 2024
247 Total Images
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Dataset Split
Train Set 87%
216Images
Valid Set 9%
21Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 27-66% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%