Dataset Versions

v24

2024-10-21 3:25pm

Generated on Oct 21, 2024

Dataset Split

Train Set 96%
2070Images
Valid Set 2%
43Images
Test Set 2%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -22% and +22%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels

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