Dataset Versions
v2
2024-10-02 12:23pm
Generated on Oct 2, 2024
491 Total Images
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Dataset Split
Train Set 88%
432Images
Valid Set 8%
40Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -15% and +15%