Dataset Versions
Versions
v1
FFLY_gender_V1
Generated on Nov 12, 2021
1632 Total Images
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Dataset Split
Train Set 88%
1428Images
Valid Set 8%
136Images
Test Set 4%
68Images
Preprocessing
Resize: Fit (black edges) in 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 5% size each