Dataset Versions

v7

2023-10-10 1:28pm

Generated on Oct 10, 2023

Dataset Split

Train Set 88%
324Images
Valid Set 8%
31Images
Test Set 4%
15Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -40° and +40°
Shear: ±40° Horizontal, ±40° Vertical
Hue: Between -70° and +70°
Blur: Up to 5px
Noise: Up to 25% of pixels
Cutout: 1 boxes with 15% size each

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