GF_Classification Dataset

v2

Gf_classification_V2

Generated on May 30, 2024

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Dataset Split

Train Set 82%
441Images
Valid Set 11%
61Images
Test Set 7%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Shear: ±6° Horizontal, ±11° Vertical
Brightness: Between -20% and +20%
Noise: Up to 0.06% of pixels