Dataset Versions

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Versions
2023-11-12 3:19pm
v6
·
a year ago
2023-11-12 3:15pm
v5
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a year ago
2023-11-12 3:11pm
v4
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a year ago
2023-11-12 12:17pm
v3
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a year ago
2023-11-12 11:49am
v2
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a year ago
2023-11-12 11:46am
v1
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a year ago
v1

2023-11-12 11:46am

Generated on Nov 12, 2023
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Dataset Split

Train Set 89%
261Images
Valid Set 7%
21Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -18% and +18%

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