Dataset Versions

v3

2024-03-26 1:54am

Generated on Mar 26, 2024

Dataset Split

Train Set 87%
207Images
Valid Set 8%
20Images
Test Set 5%
11Images

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: Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each

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