Dataset Versions

v1

2024-12-03 8:02pm

Generated on Dec 3, 2024

Dataset Split

Train Set 88%
4188Images
Valid Set 12%
558Images
Test Set 1%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Shear: ±11° Horizontal, ±13° Vertical
Saturation: Between -32% and +32%
Brightness: Between -16% and +16%
Blur: Up to 3.6px
Noise: Up to 1.72% of pixels

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