Dataset Versions

v1

2023-09-03 12:49pm

Generated on Sep 3, 2023

Dataset Split

Train Set 88%
474Images
Valid Set 8%
45Images
Test Set 4%
22Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -13% and +13%

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