Dataset Versions

v8

f_lux_up

Generated on Sep 25, 2024

Dataset Split

Train Set 88%
591Images
Valid Set 12%
84Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-70% Horizontal Region, 20-80% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1.01% of pixels

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