v4

2023-11-19 11:04pm

Generated on Nov 19, 2023

Dataset Split

Train Set 87%
381Images
Valid Set 8%
37Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels

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