Dataset Versions

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Versions
2023-09-06 10:22pm
v6
·
a year ago
2023-08-10 4:27pm
v5
·
a year ago
2023-08-10 4:25pm
v4
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a year ago
2023-08-06 10:45pm
v3
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a year ago
2023-08-01 7:03am
v2
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a year ago
2023-07-26 8:16am
v1
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a year ago
v4

2023-08-10 4:25pm

Generated on Aug 10, 2023
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Dataset Split

Train Set 91%
687Images
Valid Set 6%
45Images
Test Set 3%
25Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels

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