Dataset Versions

v2

2022-09-16 12:23pm

Generated on Sep 16, 2022

Dataset Split

Train Set 93%
654Images
Valid Set 7%
50Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 11% of images
Hue: Between -13° and +13°
Saturation: Between -8% and +8%
Blur: Up to 2.75px
Noise: Up to 3% of pixels

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