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2024-10-10 6:00am
v8
·
3 months ago
2024-10-10 5:49am
v7
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3 months ago
2024-10-10 5:46am
v6
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3 months ago
2024-10-10 5:43am
v5
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3 months ago
2024-10-09 8:59pm
v4
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3 months ago
2024-07-04 11:25am
v3
·
6 months ago
INJERA_QUALITY_DATASET
v1
·
7 months ago
v3

2024-07-04 11:25am

Generated on Jul 4, 2024
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Dataset Split

Train Set 90%
648Images
Valid Set 6%
42Images
Test Set 4%
29Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -26° and +26°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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