Dataset Versions

v6

2024-12-18 2:00pm

Generated on Dec 18, 2024

Dataset Split

Train Set 82%
2700Images
Valid Set 9%
300Images
Test Set 9%
300Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 384x384

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 20% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 1% of pixels

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