Dataset Versions

v2

2024-11-26 3:04pm

Generated on Nov 26, 2024

Dataset Split

Train Set 95%
496Images
Valid Set 3%
14Images
Test Set 2%
13Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-85% Horizontal Region, 31-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 4
Flip: Horizontal
Exposure: Between -10% and +10%
Noise: Up to 1.82% of pixels
Bounding Box: Brightness: Between -11% and +11%

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