alhassan Dataset

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2023-07-05 10:29pm
v1
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a year ago
v1

2023-07-05 10:29pm

Generated on Jul 5, 2023
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1577 Total Images

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Dataset Split

Train Set 88%
1380Images
Valid Set 8%
132Images
Test Set 4%
65Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%

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