Dataset Versions

v1

2024-11-22 3:26pm

Generated on Nov 22, 2024

Dataset Split

Train Set 92%
1055Images
Valid Set 5%
56Images
Test Set 3%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Blur: Up to 1.9px
Noise: Up to 1.84% of pixels

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