AI vs Human 2.0 Dataset
Versions
v2
2024-09-11 3:16pm
Generated on Sep 11, 2024
8320 Total Images
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Dataset Split
Train Set 94%
7840Images
Valid Set 4%
320Images
Test Set 2%
160Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 30% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 4.5px
Noise: Up to 1.84% of pixels