Dataset Versions

v2

2024-10-23 11:56am

Generated on Oct 23, 2024

Dataset Split

Train Set 88%
8946Images
Valid Set 8%
852Images
Test Set 4%
426Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Noise: Up to 0.89% of pixels

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