Dataset Versions

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Versions
2023-08-07 2:25pm
v10
·
a year ago
2023-07-26 1:45pm
v9
·
a year ago
2023-07-24 2:46pm
v8
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a year ago
2023-07-24 11:54am
v7
·
a year ago
2023-07-17 4:27pm
v6
·
a year ago
2023-07-17 4:23pm
v5
·
a year ago
2023-07-17 4:09pm
v4
·
a year ago
2023-07-11 2:01pm
v3
·
a year ago
2023-07-11 2:00pm
v2
·
a year ago
2023-07-11 1:56pm
v1
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a year ago
v9

2023-07-26 1:45pm

Generated on Jul 26, 2023
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1506 Total Images

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Dataset Split

Train Set 90%
1356Images
Valid Set 7%
100Images
Test Set 3%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each

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