Dataset Versions

v3

LastVer

Generated on Mar 7, 2024

Dataset Split

Train Set 87%
4551Images
Valid Set 8%
435Images
Test Set 4%
221Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 3
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 1.25% of pixels

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