image_quality Dataset

v3

2024-02-27 3:09pm

Generated on Feb 27, 2024

Dataset Split

Train Set 88%
1128Images
Valid Set 8%
108Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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