Dataset Versions

v17

2024-10-01 1:15pm

Generated on Oct 1, 2024

Dataset Split

Train Set 88%
4455Images
Valid Set 8%
415Images
Test Set 4%
213Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -5° and +5°
Saturation: Between -12% and +12%
Exposure: Between -8% and +8%
Noise: Up to 0.22% of pixels

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