Dataset Versions

v3

2023-06-02 2:53pm

Generated on Jun 2, 2023

Dataset Split

Train Set 89%
852Images
Valid Set 8%
72Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -38° and +38°
Shear: ±25° Horizontal, ±9° Vertical
Saturation: Between -25% and +25%
Exposure: Between -34% and +34%

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