Dataset Versions

v2

2024-09-25 3:43am

Generated on Sep 25, 2024

Dataset Split

Train Set 84%
225Images
Valid Set 9%
24Images
Test Set 7%
20Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 10% of images
Hue: Between -9° and +9°
Saturation: Between -14% and +14%
Brightness: Between -6% and +6%
Exposure: Between -8% and +8%
Noise: Up to 0.81% of pixels

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